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Weaviate VS TimescaleDB

Compare Weaviate VS TimescaleDB and see what are their differences

Weaviate logo Weaviate

Welcome to Weaviate

TimescaleDB logo TimescaleDB

TimescaleDB is a time-series SQL database providing fast analytics, scalability, with automated data management on a proven storage engine.
  • Weaviate Landing page
    Landing page //
    2023-05-10
  • TimescaleDB Landing page
    Landing page //
    2023-09-23

Weaviate videos

Introducing the Weaviate Vector Search Engine!

More videos:

  • Review - Weaviate + Haystack presented by Laura Ham (Harry Potter example!)

TimescaleDB videos

Rearchitecting a SQL Database for Time-Series Data | TimescaleDB

More videos:

  • Review - Visualizing Time-Series Data with TimescaleDB and Grafana

Category Popularity

0-100% (relative to Weaviate and TimescaleDB)
Search Engine
100 100%
0% 0
Databases
31 31%
69% 69
Utilities
100 100%
0% 0
Time Series Database
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Weaviate and TimescaleDB

Weaviate Reviews

We have no reviews of Weaviate yet.
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TimescaleDB Reviews

ClickHouse vs TimescaleDB
Recently, TimescaleDB published a blog comparing ClickHouse & TimescaleDB using timescale/tsbs, a timeseries benchmarking framework. I have some experience with PostgreSQL and ClickHouse but never got the chance to play with TimescaleDB. Some of the claims about TimescaleDB made in their post are very bold, that made me even more curious. I thought it’d be a great...
4 Best Time Series Databases To Watch in 2019
The Guardian did a very nice article explaining on they went from MongoDB to PostgresSQL in the favor of scaling their architecture and encrypting their content at REST. As you can tell, big companies are relying on SQL-constraint systems (with a cloud architecture of course) to ensure system reliability and accessibility. I believe that PostgresSQL will continue to grow, so...
Source: medium.com
20+ MongoDB Alternatives You Should Know About
TimescaleDB If on the other hand you are storing time series data in MongoDB, then TimescaleDB might be a good fit.
Source: www.percona.com

Social recommendations and mentions

Based on our record, Weaviate should be more popular than TimescaleDB. It has been mentiond 28 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Weaviate mentions (28)

  • How to choose the right type of database
    Weaviate: An open-source, cloud-native vector database built for scalable and fast vector searches. It's particularly effective for semantic search applications, combining full-text search with vector search for AI-powered insights. - Source: dev.to / 4 months ago
  • 7 Vector Databases Every Developer Should Know!
    Weaviate is an open-source vector search engine with out-of-the-box support for vectorization, classification, and semantic search. It is designed to make vector search accessible and scalable, supporting use cases such as semantic text search, automatic classification, and more. - Source: dev.to / 4 months ago
  • Qdrant, the Vector Search Database, raised $28M in a Series A round
    Congrats to them! What have your experiences with vector databases been? I've been using https://weaviate.io/ which works great, but just for little tech demos, so I'm not really sure how to compare one versus another or even what to look for really. - Source: Hacker News / 5 months ago
  • How Modern SQL Databases Are Changing Web Development - #4 Into the AI Era
    A RAG implementation's quality and performance highly depend on the similarity-based search of embeddings. The challenge arises from the fact that embeddings are usually high-dimensional vectors, and the knowledge base may have many documents. It's not surprising that the popularity of LLM catalyzed the development of specialized vector databases like Pinecone and Weaviate. However, SQL databases are also evolving... - Source: dev.to / 6 months ago
  • Make Notion search great again: Vector Database
    To find semantically similar texts we need to calculate the distance between vectors. While we have just a few short texts we can brute-force it: calculate the distance between our query and each text embedding one by one and see which one is the closest. When we deal with thousands or even millions of entries in our database, however, we need a more efficient way of comparing vectors. Just like for any other way... - Source: dev.to / 7 months ago
View more

TimescaleDB mentions (5)

  • Ask HN: Does anyone use InfluxDB? Or should we switch?
    (:alert: I work for Timescale :alert:) It's funny, we hear this more and more "we did some research and landed on Influx and ... Help it's confusing". We actually wrote an article about what we think, you can find it here: https://www.timescale.com/blog/what-influxdb-got-wrong/ As the QuestDB folks mentioned if you want a drop in replacement for Influx then they would be an option, it kinda sounds that's not what... - Source: Hacker News / 8 months ago
  • Best small scale dB for time series data?
    If you like PostgreSQL, I'd recommend starting with that. Additionally, you can try TimescaleDB (it's a PostgreSQL extension for time-series data with full SQL support) it has many features that are useful even on a small-scale, things like:. Source: almost 2 years ago
  • Quick n Dirty IoT sensor & event storage (Django backend)
    I have built a Django server which serves up the JSON configuration, and I'd also like the server to store and render sensor graphs & event data for my Thing. In future, I'd probably use something like timescale.com as it is a database suited for this application. However right now I only have a handful of devices, and don't want to spend a lot of time configuring my back end when the Thing is my focus. So I'm... Source: over 2 years ago
  • How fast and scalable is TimescaleDB compare to a NoSQL Database?
    I've seen a lot of benchmark results on timescale on the web but they all come from timescale.com so I just want to ask if those are accurate. Source: almost 3 years ago
  • The State of PostgreSQL 2021 Survey is now open!
    Ryan from Timescale here. We (TimescaleDB) just launched the second annual State of PostgreSQL survey, which asks developers across the globe about themselves, how they use PostgreSQL, their experiences with the community, and more. Source: about 3 years ago

What are some alternatives?

When comparing Weaviate and TimescaleDB, you can also consider the following products

Qdrant - Qdrant is a high-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

InfluxData - Scalable datastore for metrics, events, and real-time analytics.

Milvus - Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.

Prometheus - An open-source systems monitoring and alerting toolkit.

txtai - AI-powered search engine

VictoriaMetrics - Cost-effective database for huge amounts of time series data