Energy · head to head
Bidgely UtilityAI vs TimescaleDB

Bidgely UtilityAI
Energy
AI-powered energy disaggregation and customer engagement
- 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: Bidgely UtilityAI sold to utilities rather than to energy consumers, so an individual cannot buy it; TimescaleDB inherits PostgreSQL write path limitations, creating a ceiling on ingestion throughput
- They diverge on capability: Bidgely UtilityAI covers Energy disaggregation, TimescaleDB covers Time-series Optimization.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Bidgely UtilityAI and TimescaleDB actually diverge.
| Attribute | Bidgely UtilityAI | TimescaleDB |
|---|---|---|
| Starting price | On request | Free |
| Pricing model | quote | Unknown |
| Free tier | No | Yes |
| Platforms | Web, Mobile, Api | Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure) |
| Category | Energy | Databases |
| Founded | 2011 | 2012 |
Identical on both: 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 Bidgely UtilityAI
- Energy disaggregation
- AI-powered analytics
- Personalized recommendations
- Customer segmentation
- Home energy reports
- Program enrollment
- Mobile app platform
- Behavioral insights
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.
Bidgely UtilityAI
- Disaggregating household energy use to appliance level from meter datanot TimescaleDB
- Targeting energy efficiency programmes at the right customersnot TimescaleDB
- Detecting EV ownership for utility programmesnot TimescaleDB
- Demand response and load flexibility planningnot TimescaleDB
- Identifying customers for affordability programmesnot TimescaleDB
TimescaleDB
- Monitoringnot Bidgely UtilityAI
- IoT datanot Bidgely UtilityAI
- Financial datanot Bidgely UtilityAI
- Log analyticsnot Bidgely UtilityAI
- Observabilitynot Bidgely UtilityAI
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Bidgely UtilityAI
- Sold to utilities rather than to energy consumers, so an individual cannot buy it
- Pricing is not published
- Value depends on access to meter data, so it needs the utility's own data pipeline
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
Bidgely UtilityAI
On requestNo published plan breakdown. See the Bidgely UtilityAI review.
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 Bidgely UtilityAI if
- You need energy disaggregation.
- You work on Web, Mobile, Api.
- You also want ai-powered analytics.
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 Bidgely UtilityAI or TimescaleDB better?
- Neither clearly leads. Bidgely UtilityAI 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, Bidgely UtilityAI or TimescaleDB?
- TimescaleDB has a free tier; the other does not. Paid plans start at On request for Bidgely UtilityAI and Free for TimescaleDB.
- Does Bidgely UtilityAI or TimescaleDB run on more platforms?
- Bidgely UtilityAI runs on Web, Mobile, Api. 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. Bidgely UtilityAI starts at On request.
- What is Bidgely UtilityAI best used for?
- Bidgely UtilityAI is most often used for disaggregating household energy use to appliance level from meter data, targeting energy efficiency programmes at the right customers, detecting ev ownership for utility programmes, demand response and load flexibility planning. Of those, disaggregating household energy use to appliance level from meter data and targeting energy efficiency programmes at the right customers are not what TimescaleDB is typically brought in for.
- What can Bidgely UtilityAI do that TimescaleDB cannot?
- Bidgely UtilityAI covers Energy disaggregation, AI-powered analytics, Personalized recommendations, Customer segmentation. TimescaleDB covers Time-series Optimization, PostgreSQL Extension, Automatic Partitioning, Continuous Aggregates. Both handle Web support.
Answered from the vendors’ own pages
Bidgely UtilityAI: Why is pricing not published for Bidgely?
Bidgely does not list specific pricing on its website. Interested parties are directed to contact the company through 'Contact Us' or 'Speak with an Expert' options for pricing inquiries.
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.
SourceBidgely UtilityAI: How do I get a pricing quote from Bidgely?
Bidgely directs potential customers to use the 'Speak with an Expert' call-to-action on their website to discuss pricing and capabilities.
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.
SourceBidgely UtilityAI: Is there a free trial available without a sales contact?
The website does not mention a free trial option. All pricing inquiries appear to require direct engagement with Bidgely's sales team.
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 Bidgely UtilityAI
More on TimescaleDB
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- TimescaleDB vs Aurora Solar
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- TimescaleDB vs Cognite Data Fusion
- TimescaleDB vs SolarWinds
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- TimescaleDB vs OpenLink Endur
- TimescaleDB vs Oracle Utilities
- TimescaleDB vs Petrel E&P Software
- TimescaleDB vs Siemens EnergyIP
- TimescaleDB vs QuestDB
- TimescaleDB vs ClickHouse
- TimescaleDB vs MotherDuck
- TimescaleDB vs YugabyteDB
- TimescaleDB vs Apache Druid
- TimescaleDB vs SingleStore
- TimescaleDB vs DuckDB
- TimescaleDB vs Cockroach Labs
- TimescaleDB vs Amazon Aurora
- TimescaleDB vs Elasticsearch
- TimescaleDB vs Dgraph
- TimescaleDB vs Dragonfly
- TimescaleDB vs Dremio
- TimescaleDB vs Fivetran HVR
- TimescaleDB vs Grist
- TimescaleDB vs IBM Db2
- TimescaleDB vs Apache Pinot
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