Tiger Data (Timescale, Inc.)
(https://timescale.com) 📸 Data Snapshot: June 19, 2026Pull the main entities out of the H1, then check whether they actually recur through the body. A page that announces one thing and then talks about another drifts. Headings with no real sentences underneath read as pseudo-substance.
There is virtually no semantic drift between the homepage signal and sub-page substance. The H1 promise of ‘Postgres for sensor and machine data’ is directly supported on the Cloud page by ‘Specialized Time-series Functions’ and ‘Automatic Partitioning.’ The transition from a broad scaling claim to specific row-columnar storage mechanics is logically consistent across the crawl.
Semantic Coherence is read from the heading hierarchy first: what each page announces in its H1 and headings, then whether the body actually delivers on it. Below is the structure the engine mapped, followed by the clean text to check for drift between promise and reality.
🏗️ Semantic Structure — heading hierarchy & page identity (the promise the page makes)
HOMEPAGE Time-Series PostgreSQL at Petabyte Scale (https://timescale.com)
Time-Series PostgreSQL at Petabyte Scale
From the creators of TimescaleDB — the PostgreSQL platform trusted by enterprises processing trillions of metrics daily. Start a free trial or get a demo.
NAV_HEADER_HEADING_REPEATED_BODY_FOOTER Need to get in touch with Tiger Data? Contact us | Tiger Data (https://timescale.com/contact/)
Need to get in touch with Tiger Data? Contact us | Tiger Data
We love hearing from folks and always want to know how we can be helpful. We look forward to your message.
NAV_HEADER_HEADING_REPEATED_BODY_FOOTER Tiger Data Security | Tiger Data (https://timescale.com/security/)
Tiger Data Security | Tiger Data
Tiger Data provides robust security designed to meet the stringent demands of developers in regulated and sensitive environments.
NAV_HEADER_HEADING_REPEATED_FOOTER Tiger Cloud — Production Postgres at Scale | Tiger Data (https://timescale.com/cloud/)
Tiger Cloud — Production Postgres at Scale | Tiger Data
Fully managed PostgreSQL from the creators of TimescaleDB. 99.9% uptime SLA, 10,000+ IOPS, columnar compression up to 95%, and built-in search. Try it free.
📝 The Narrative — clean text per page (homepage promise vs. sub-page reality)
HOMEPAGE (https://timescale.com) Time-Series PostgreSQL at Petabyte Scale
// primitives [H2] Built for the hardest workloads The foundational capabilities that power fast ingest, efficient storage, and real-time analytics at scale.Start a free trialContact salesAutomatic partitioning [H3] Automatic partitioning Time- and key-based partitioning for fast reads and writes.Row-columnar storage [H3] Row-columnar storage Row storage for writes, columnar storage for analytics, with compression.Tiered storage [H3] Tiered storage Hot data on SSD, colder data on low-cost object storage.Lakehouse integration [H3] Lakehouse integration Ingest from Kafka and S3, replicate to Iceberg.Time-series functions [H3] Time-series functions 200+ SQL functions for time-based analytics.Interface [H3] Interface Postgres-native access via SQL, APIs, CLI, and UI.Search [H3] Search Hybrid retrieval with keywords, vectors, filters, and ranking.
SUB-PAGE · THIN (https://timescale.com/contact/) Need to get in touch with Tiger Data? Contact us | Tiger Data
[H1] Get in touch with Tiger Data Trusted byTrusted by Thousands of companies in IoTTrusted byTrusted by Thousands of companies in IoT
SUB-PAGE (https://timescale.com/security/) Tiger Data Security | Tiger Data
[H1] Tiger Data Security [IMG: Hero illustration] [H2] Tiger Data provides robust security designed to meet the stringent demands of developers in regulated and sensitive environments. [IMG: Hero illustration] [H3] Compliance and Audits [IMG: Card background] [H4] SOC2 Type 2 Tiger Data’s SOC 2 report is available to all customers on Tiger Cloud Scale or Enterprise Plans. [H4] GDPR Tiger Data fully complies with GDPR regulations, with all related requests handled via our support team. [IMG: Card background] [H4] HIPAA We offer HIPAA (Health Insurance Portability and Accountability Act) compliance for Enterprise Plan subscribers. [H4] CCPA Data notice at collection in compliance with the California Consumer Privacy Act. Read more in Tiger Data's Privacy Policy, Section 10. [H3] Authentication and Encryption [H4] MFA Tiger Data offers secure Multi-Factor Authentication (or 2FA) for all customers. [IMG: Card background] [H4] Encryption in transit Tiger Data requires industry-standard Transport Layer Security (versions 1.2+) encryption for all connections. All database services support client certificate verification modes. Critical internal traffic is protected by mutual TLS. [IMG: Card background] [H4] Encryption at rest All data volumes, including backups, are encrypted at rest with unique keys specific to each service, and keys are automatically rotated at a regular cadence. Data encryption keys with AWS-KMS, and Virtual Private Network (VPN) keys with OpenSSL, are both 256-bit key; website SSL certificates with TLS areis 128-bit key. [H4] SSO/SAML SSO/SAML authentication is available to all customers on the Tiger Cloud Enterprise Plan. [H3] Network Security and Data Sovereignty [IMG: Card background] [H4] Backups All customer databases are continuously backed up to highly durable storage. Point-In-Time Recovery (PITR) is available to all database services. [H4] Data center security Tiger Cloud runs all services on AWS data centers which have some of the highest levels of security and reliability available. [IMG: Card background] [H4] Payments and PCI Credit card payments are processed through Stripe without storing personal credit card information.* [IMG: Card background] [H4] Intrusion detection/Pen test Tiger Data regularly collaborates with external security audit firms to assess our security posture and intrusion detection capabilities. Results of the tests are available by request. [H4] Subprocessor transparency Tiger Data keeps the list of data subprocessors on the Tiger Data website for review. [IMG: Card background] [H4] Vulnerability scans Software developed by Tiger Data is constantly analyzed by static analysis security tools. Code is reviewed as changes are proposed and security design reviews take place as needed. If you discover a security vulnerability, please review our Vulnerability Disclosure Policy. [IMG: Card background] [H4] VPC peering Privately link your application’s VPC to a dedicated VPC running Tiger Cloud, so traffic stays off the public internet while retaining low-latency performance. [H4] AWS Transit Gateway Route traffic from different clouds, on-premise data centers and other AWS services through a single Tiger Cloud connection using AWS Transit Gateway. [IMG: Card background] [H4] IP allow lists Restrict access to your Tiger Cloud services to trusted IP addresses only, preventing unauthorized connections without the need for a Virtual Private Cloud. [H3] Bullet-proof Support [IMG: Card background] [H4] Operations support Support is fully staffed 24x7 globally, with a Service Level Agreement based on issue severity. Contact us for your support and operations requests. [H4] Security guidance Engineering review for security best practices, making sure your Tiger Cloud deployment is secure from unauthorized access, data breaches, and other security threats. [IMG: Card background] [H4] Security monitoring Tiger Data uses 24/7 on-call rotations with internal escalations to monitor all systems. Subscribe to our status page for system-wide alerts.*Credit card payments are processed through Stripe without storing personal credit card information. Corporate invoicing is also available to Customers spending at least $1000/month. Stripe is a certified PCI Service Provider Level 1, which is the highest level of certification in the payments industry.
SUB-PAGE (https://timescale.com/cloud/) Tiger Cloud — Production Postgres at Scale | Tiger Data
Tiger Cloud [H1] Production Postgres That Doesn't Break From the Creator of TimescaleDB, fully-managed, highly available, at petabyte scaleStart a free trialContact salesTrusted by [H4] Durability by the numbers [H4] Durability by the numbers 99.9% uptime SLAMonthly guarantee for HA Replicated services (Enterprise). Public SLA. Real-time status page.110,000+ IOPSSingle-volume read throughput on Fluid Storage. 1.4 GB/s bandwidth. Synchronously replicated on every write.Up to 14-day PITRPoint-in-time recovery via pgBackRest. Weekly full backups, daily incrementals, continuous WAL retention. Optional cross-region.// Production-ready without the operational pain. [H2] Scale TimescaleDB with performance you can trust [H3] Automatic Partitioning TimescaleDB hypertables turn any Postgres table into a table automatically partitioned by time or id for fast ingest and predictable queries at massive scale.How it worksTime/id partitioning; partition skipping at query planning timeEfficient index-only scans; supports skip-scan patterns on composite indexesTiger Cloud AdvantageOne-click hypertable creation; streaming from Kafka, S3 and other Postgres databases into hypertables; hypertable monitoring and exploration; partition size recommendations.Learn more [H3] Row/columnar Hybrid Storage Keep years of history online at a fraction of the cost—while making your analytical queries even faster.How it worksAutomatic conversion between rowstore and columnstore; fast columnstore updates.Vectorized operators with SIMD acceleration; chunk skipping with sparse indexes.Tiger Cloud AdvantageDeep insights into query performance with access to plans for slow queries; detailed access to compression ratio and storage savings.Learn more [H3] Compression (up to 95%) Keep years of history online at a fraction of the cost—while making your analytical queries even faster.How it worksColumnar encodings (delta/dictionary/RLE), time-order aware.Applies filters and aggregates directly on compressed data, only decompressing what's needed for faster queries.Tiger Cloud AdvantageAutomated tiering to low-cost object storage; scheduled columnstore/compression jobs with alerts.Learn more [H3] Incremental Materialized Views Our continuous aggregates (caggs) enable incrementally refreshed rollups for instant dashboards.How it worksHandle late data and updates; parallelized batched refreshes.Hierarchical caggs for more efficient computation; real-time mode to include latest changes.Tiger Cloud AdvantageCagg creation wizard, cagg refresh observability with refresh failure notifications.Learn more [H3] Automated Data Management First-class automation for columnstore, retention, and aggregate refresh with full auditability.How it worksBuilt-in job scheduler with retries and visibility.Configurable policies for columnstore, retention and continuous aggregates.Tiger Cloud AdvantagePolicies for tiering to low-cost object storage, job monitoring.Learn more [H3] Specialized Time-series Functions Hyperfunctions simplify fast, advanced time-series analysis using ~200 native SQL functions.How it worksStatistical rollups, time-weighted averages, approximations, interpolation and more.Partial aggregations to eliminate costly reprocessing.Tiger Cloud AdvantageQuery-level performance insights, and plan visualization tools.Learn moreHow it worksTime/id partitioning; partition skipping at query planning timeEfficient index-only scans; supports skip-scan patterns on composite indexesTiger Cloud AdvantageOne-click hypertable creation; streaming from Kafka, S3 and other Postgres databases into hypertables; hypertable monitoring and exploration; partition size recommendations.Learn more// Coming soon [H2] Fluid Storage A storage layer Postgres never had. Your workloads will notice. Fluid Storage is a distributed block layer that gives Postgres capabilities it was never designed to have. More throughput, true elasticity, and no wasted storage at any scale.Read the Fluid Storage Deep DiveNo duplicated dataOne copy of your data, replicated synchronously across block servers before every write is acknowledged. A single source of truth that is always consistent and always protected, without paying for mirrored volumes.True elasticityVolumes expand and contract automatically with your workload. No manual resizing, no cooldown windows, no paying for capacity you don't use. Storage scales to 128TB and beyond.Local SSD cacheFrequently accessed data is served from local SSD, so your most demanding queries never wait on network round-trip. 400K+ IOPS without the high cost.// native search [H2] Search, built into Postgres Run keyword, vector, and hybrid search where your data already lives in Tiger Cloud. No separate search service, no sync pipelines, and no extra infrastructure to manage.Keyword + semanticUse BM25, vectors, or both together in one database.Less to operateNo duplicated data, no ETL pipeline, no extra search cluster.Built for productionLower latency, lower complexity, and fewer moving parts from dev to scale.Explore search on Postgres[fig. 01]Tiger Cloud PostgresApplication dataKeyword search (BM25)Full-text search on transactional data.Vector searchStore and query embeddings in Postgres.Hybrid searchCombine keyword and vector results in one system. [H2] Always in sync with your data sources TimescaleDB is built in the open. Join thousands of developers, engineers, and data scientists pushing the boundaries of what's possible with PostgreSQL.Tiger LakeTiger and your lakehouse always in sync so analytics and agents share one truth.Sync your lakehouseConnectorsStream data with SQL and keep Kafka, S3, and Tiger in sync without brittle pipelines.See connectors in action[fig. 02]One Platform, Every LayerCUSTOMER FACING APPS, APIS, DASHBOARDS, AGENTSINTERNAL REPORTING, ANALYTICS, ML TRAINING, AGENTSOPERATIONAL DATABASELAKEHOUSE / WAREHOUSEOPEN STORAGE (S3 TABLES + ICEBERG) [H4] Plug into your tech stack Use Tiger Data with your preferred cloud provider, and the wider Postgres ecosystem.View integrations [H4] Enterprise-ready by default Meet security and operational requirements of production systems.24/7 SupportRound-the-clock coverage with global Postgres experts and guaranteed enterprise response times.Run Postgres at ScaleEnterprise TrustContractual uptime SLAs, regional data isolation, and enterprise-ready compliance certifications.I'm interested in production support [H2] Start building or migrate today Start a free trialContact sales
This page presents a snapshot of public data from Tiger Data (Timescale, Inc.), captured on June 19, 2026, to show how machine logic reads Semantic Coherence signals into an AI reputation evaluation.
Purpose: This data is presented under “Fair Use” for the purpose of independent signal analysis, allowing readers to see the raw signals behind the reputation score.
Notice to Tiger Data (Timescale, Inc.): This analysis is part of a non-adversarial audit conducted by 1 Euro SEO. The results are intended as professional feedback to help improve any website’s machine-readability and authority signals. The evaluation is free, and any company can request a fresh audit at any time.
Any company can use the insights for free and improve its voice. When a company has updated its content, it can always submit a new audit request, which will be reflected in a new current score.
To all users: You are encouraged to visit the live site at https://timescale.com to view the most current version of its content and see directly what this company is about and what it offers.