Business Intelligence · head to head
GoodData vs TimescaleDB

GoodData
Business Intelligence
Analytics platform for data products
- From
- On request
- Rated
- -

TimescaleDB
Databases
Time-series database built on PostgreSQL for real-time analytics
- From
- Free
- Rated
- -
The short version
- Only TimescaleDB has a free tier, so it costs nothing to try first.
- Each has a real cost: GoodData pricing scales per workspace as customer base grows, increasing costs with scale; TimescaleDB inherits PostgreSQL write path limitations, creating a ceiling on ingestion throughput
- They diverge on capability: GoodData covers Headless BI, TimescaleDB covers Time-series Optimization.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which GoodData and TimescaleDB actually diverge.
| Attribute | GoodData | TimescaleDB |
|---|---|---|
| Starting price | On request | Free |
| Free tier | No | Yes |
| Platforms | Web, Cloud AWS, Cloud Azure | Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure) |
| Category | Business Intelligence | Databases |
| Founded | 2007 | 2012 |
Identical on both: pricing model (Unknown), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in GoodData
- Headless BI
- Semantic Layer
- Embedded Analytics
- Multi-tenancy
- White-labeling
- Snowflake
- BigQuery
- Redshift
Only in TimescaleDB
- Time-series Optimization
- PostgreSQL Extension
- Automatic Partitioning
- Continuous Aggregates
- Native Compression
- Full SQL Support
- Real-time Analytics
- Grafana
Both cover
- PostgreSQL
- Web support
What people use each for
The jobs each tool is most often brought in to do.
GoodData
- Self-service analyticsnot TimescaleDB
- Data explorationnot TimescaleDB
- Ad-hoc reportingnot TimescaleDB
- Collaborative analysisnot TimescaleDB
- Embedded analyticsnot TimescaleDB
TimescaleDB
- Monitoringnot GoodData
- IoT datanot GoodData
- Financial datanot GoodData
- Log analyticsnot GoodData
- Observabilitynot GoodData
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
GoodData
- Pricing scales per workspace as customer base grows, increasing costs with scale
- Advanced security features like audit logging and HIPAA compliance only on Enterprise plan
TimescaleDB
- Inherits PostgreSQL write path limitations, creating a ceiling on ingestion throughput
- Operational complexity increases significantly at scale, requiring expertise in chunk tuning and autovacuum management
- Bloom filter indexes on compressed columns can return incorrect query results before upgrade
- PostgreSQL 15 support ending June 2026, forcing mandatory upgrades to PostgreSQL 16 or later
Pricing, plan by plan
GoodData
On request- Professional$undefined/mo
- Core BI and analytics
- Full embedding with whitelabeling
- Multi-tenancy support
- Enterprise$undefined/mo
- All Professional features
- Custom agents and Agent Builder
- 99.5% guaranteed uptime SLA
TimescaleDB
Free- Open SourceFree
- Self-hosted TimescaleDB
- MIT-licensed core
- Full PostgreSQL compatibility
- Scale Plan (Cloud)$36/month
- Compute and storage charges
- Multi-node HA
- Unlimited VPCs
Which should you pick?
Choose GoodData if
- You need headless bi.
- You work on Web, Cloud AWS, Cloud Azure.
- You also want semantic layer.
Choose TimescaleDB if
- You need time-series optimization.
- You want to start without paying.
- You work on Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure).
- You also want postgresql extension.
Questions people ask
- Is GoodData or TimescaleDB better?
- Neither clearly leads. GoodData starts at On request and TimescaleDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, GoodData or TimescaleDB?
- TimescaleDB has a free tier; the other does not. Paid plans start at On request for GoodData and Free for TimescaleDB.
- Does GoodData or TimescaleDB run on more platforms?
- GoodData runs on Web, Cloud AWS, Cloud Azure. TimescaleDB runs on Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure).
- Can I use TimescaleDB for free?
- Yes. TimescaleDB has a free tier, so you can try it without paying. GoodData starts at On request.
- What is GoodData best used for?
- GoodData is most often used for self-service analytics, data exploration, ad-hoc reporting, collaborative analysis. Of those, self-service analytics and data exploration are not what TimescaleDB is typically brought in for.
- What can GoodData do that TimescaleDB cannot?
- GoodData covers Headless BI, Semantic Layer, Embedded Analytics, Multi-tenancy. TimescaleDB covers Time-series Optimization, PostgreSQL Extension, Automatic Partitioning, Continuous Aggregates. Both handle PostgreSQL, Web support.
Answered from the vendors’ own pages
GoodData: Does GoodData offer a free tier?
No, GoodData does not offer a free tier. The platform has Professional and Enterprise pricing tiers that require sales contact for quotes.
SourceTimescaleDB: Is TimescaleDB free?
Yes. TimescaleDB is free and open source under the Timescale License. The managed cloud service offers a free trial with $1,000 in credits expiring in 30 days.
SourceGoodData: What data warehouses can GoodData connect to?
GoodData supports direct connections to Snowflake, BigQuery, Redshift, Azure Databricks, and PostgreSQL through a direct-query-only integration model.
SourceTimescaleDB: What database does TimescaleDB run on top of?
TimescaleDB is a PostgreSQL extension that runs on top of PostgreSQL. You retain full PostgreSQL compatibility including SQL queries, transactions, and ecosystem tools.
SourceGoodData: Can you self-host GoodData?
Self-hosted deployment is only available on the Enterprise plan. Professional plan customers are limited to the managed SaaS offering.
SourceTimescaleDB: How much can TimescaleDB compress data?
TimescaleDB offers transparent columnar compression that can reduce storage by up to 95%. Newer data remains in row-oriented format for fast writes, while older data is automatically compressed to the column store.
SourceTimescaleDB: Does TimescaleDB require manual partitioning?
No. TimescaleDB handles automatic time-based partitioning through hypertables. Data is automatically chunked based on time intervals, requiring no manual partition management.
SourceTimescaleDB: What PostgreSQL versions does TimescaleDB support?
As of October 2025, TimescaleDB requires PostgreSQL 16 or greater. PostgreSQL 15 support will end with the June 2026 release, after which all instances must upgrade to PostgreSQL 16.
SourceRelated pages
More on TimescaleDB
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