TigerData review

TigerData is a managed database service built around TimescaleDB, a Postgres database designed for sensor and machine data. TimescaleDB is also available as a free open-source option for self-hosting, so the product is not limited to TigerData’s cloud. In an application stack, it sits at the persistence layer: services write and query data through Postgres-native SQL and the vendor’s listed APIs, CLI and UI.

The database targets workloads that ingest time-stamped records and need to query both recent and historical data. Its feature set includes automatic time- and key-based partitioning, row storage for writes, compressed columnar storage for analytics, and tiered storage that places hot data on SSD and colder data on object storage. It also lists Kafka and S3 ingestion, Iceberg replication, time-series SQL functions, and hybrid keyword and vector retrieval. That makes it relevant to telemetry and machine-data systems that want to keep a Postgres interface while adding time-series-oriented storage and query features.

The homepage describes Postgres-native access through SQL, APIs, a CLI and a UI. SQL is the clearest integration path for an application already using Postgres; the vendor also lists integrations with Kafka and S3 for ingestion, and replication to Iceberg. The homepage does not name an API protocol, SDKs or supported programming languages. Confirm SDK and language support in TigerData’s docs before committing to an application integration.

The product’s interface list gives teams more than one way to connect, but it does not establish whether an API is REST, nor what authentication, client libraries or versioning guarantees apply. Check the docs for connection details, supported Postgres versions, migration instructions and CLI commands. The listed 200+ SQL functions support time-based analytics within SQL, while hybrid search covers keywords, vectors, filters and ranking. Those features may reduce the need for separate query services, but verify their exact SQL interfaces and operational requirements against your workload.

TigerData’s cloud plans start at $30 per month for Performance, aimed at early-stage apps and internal tools. It includes up to four database services, each with up to 8 CPUs, 32 GB memory and 16 TB disk storage, plus up to 5K IOPS and 250 MB/s throughput. Scale starts at $36 per month and includes unlimited services, with per-service limits of 32 CPUs, 128 GB memory, 64 TB disk, 40K IOPS and 1,500 MB/s throughput. Enterprise pricing is not listed.

There is no cloud free plan; the pricing lists a 30-day free trial. TimescaleDB is available as a free open-source self-hosting option. Cloud compute and storage are metered hourly, with invoices monthly in arrears and no annual billing listed. Storage costs $0.177/GB-month on Performance or $0.212/GB-month on Scale; tiered storage is $0.021/GB-month. HA and read replicas cost the primary service’s rate. IO Boost and production support may add charges, but prices are not listed. Model storage growth and replicas alongside compute.

TimescaleDB is available as a free open-source option for self-hosting, so teams can run the database outside TigerData’s managed cloud. The exact open-source licence is not published here; check the current licence and its conditions before deployment. The vendor describes the database as Postgres-native, which gives teams a familiar SQL interface, but that alone does not guarantee that every TigerData-specific feature or cloud configuration transfers unchanged.

TigerData does not publish a data-export path in the information available to buyers here. Ask about export formats, backup access and how to move data off tiered object storage before adopting the managed service. A Postgres-based schema may make application-level migration more straightforward than a proprietary database, but extensions, time-series functions and search features can create work to replace. Self-hosting reduces dependence on the hosted service, while shifting operations, backups and failure handling to your team.

TigerData lists encryption at rest and in transit, private networking and access controls. It also lists high availability, automated backups and point-in-time recovery, plus SOC 2 Type II and GDPR support. Enterprise includes 24x7 production support with a one-hour Sev 1 response. Check which security, recovery and support features apply to your plan, and ask for service limits and recovery commitments before production use; published plan limits cover service resources, not API request rates.

Scaling can increase costs as compute, storage, replicas and tiered storage usage grow. A thread in r/algotrading describes a TigerData/Timescale server receiving about 500 rows per second and a $400 monthly cloud bill; another r/Database post describes a $600–800 monthly bill for a 500 GB setup. These are individual reports, not comparable quotes, but they underline the need to estimate workload-specific costs. A commenter on r/Database also notes that self-hosting makes teams responsible for server failures and backups.