Business Intelligence · head to head
Sisense vs TimescaleDB

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: Sisense pricing lacks transparency with opaque scaling costs and hidden fees for onboarding and training; TimescaleDB inherits PostgreSQL write path limitations, creating a ceiling on ingestion throughput
- They diverge on capability: Sisense covers Embedded Analytics, TimescaleDB covers Time-series Optimization.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Sisense and TimescaleDB actually diverge.
| Attribute | Sisense | TimescaleDB |
|---|---|---|
| Starting price | $10000/year | Free |
| Free tier | No | Yes |
| Platforms | Web, Cloud, On-premises | Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure) |
| Category | Business Intelligence | Databases |
| Founded | 2004 | 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 Sisense
- Embedded Analytics
- AI/ML Integration
- In-chip Technology
- White-labeling
- REST API
- Snowflake
- AWS
- Azure
Only in TimescaleDB
- Time-series Optimization
- PostgreSQL Extension
- Automatic Partitioning
- Continuous Aggregates
- Native Compression
- Full SQL Support
- Real-time Analytics
- PostgreSQL
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Sisense
- Self-service analyticsnot TimescaleDB
- Data explorationnot TimescaleDB
- Ad-hoc reportingnot TimescaleDB
- Collaborative analysisnot TimescaleDB
- Embedded analyticsnot TimescaleDB
TimescaleDB
- Monitoringnot Sisense
- IoT datanot Sisense
- Financial datanot Sisense
- Log analyticsnot Sisense
- Observabilitynot Sisense
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Sisense
- Pricing lacks transparency with opaque scaling costs and hidden fees for onboarding and training
- Limited connector ecosystem compared to competitors; missing native connectors to many data sources
- Dashboard customization options are limited; widgets cannot span multiple rows, restricting layout possibilities
- Performance issues reported with large datasets and stability problems with data cubes
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
Sisense
$10000/year- Small Team$10000/year minimum
- Basic analytics dashboards
- Limited data sources
- Mid-Market$undefined/custom
- Advanced analytics
- Multiple data sources
- Custom integrations
- Enterprise$60000/year+
- Advanced AI analytics
- Premium support
- Custom development
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 Sisense if
- You need embedded analytics.
- You work on Web, Cloud, On-premises.
- You also want ai/ml integration.
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 Sisense or TimescaleDB better?
- Neither clearly leads. Sisense starts at $10000/year and TimescaleDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Sisense or TimescaleDB?
- TimescaleDB has a free tier; the other does not. Paid plans start at $10000/year for Sisense and Free for TimescaleDB.
- Does Sisense or TimescaleDB run on more platforms?
- Sisense runs on Web, Cloud, On-premises. 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. Sisense starts at $10000/year.
- What is Sisense best used for?
- Sisense 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 Sisense do that TimescaleDB cannot?
- Sisense covers Embedded Analytics, AI/ML Integration, In-chip Technology, White-labeling. TimescaleDB covers Time-series Optimization, PostgreSQL Extension, Automatic Partitioning, Continuous Aggregates. Both handle Web support.
Answered from the vendors’ own pages
Sisense: What is Sisense primarily used for?
Sisense is an embedded analytics platform that combines data ingestion, modeling, and dashboarding, allowing organizations to embed analytics and insights directly into their applications and workflows.
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.
SourceSisense: Does Sisense have a transparent pricing model?
Sisense pricing is not publicly listed and requires contacting sales. Typical costs start at $10,000 per year for small teams but can scale to $60,000+ annually depending on users, data volume, number of data sources, and complexity. AI capabilities typically add 20-30% to base costs.
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.
SourceSisense: What data sources can Sisense connect to?
Sisense provides pre-built connectors for popular applications including Salesforce, Google Analytics, Zendesk, and others. It also supports custom connections through APIs and SDKs for specialized data sources.
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.
SourceSisense: Is Sisense easy to use for non-technical users?
Sisense requires significant technical expertise to set up, particularly for creating Elasticubes (database caches) which often need SQL code. While it promotes codeless reporting, typical implementations require a technical resource.
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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- TimescaleDB vs Amazon Aurora
- TimescaleDB vs Elasticsearch
- TimescaleDB vs Dgraph
- TimescaleDB vs Dragonfly
- TimescaleDB vs Dremio
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