elastic VS bleve

Compare elastic vs bleve and see what are their differences.

elastic

Deprecated: Use the official Elasticsearch client for Go at https://github.com/elastic/go-elasticsearch (by olivere)

bleve

A modern text/numeric/geo-spatial/vector indexing library for go (by blevesearch)
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elastic bleve
21 13
7,298 9,552
- 1.0%
0.0 7.4
22 days ago 8 days ago
Go Go
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

elastic

Posts with mentions or reviews of elastic. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-01.
  • How to include max_children in the Elasticsearch query
    2 projects | /r/golang | 1 Jul 2023
    i am trying to generate the following query using github.com/olivere/elastic/v7
  • Go and ElasticSearch full-text search microservice in k8s👋✨💫
    13 projects | dev.to | 16 Aug 2022
    For Go available two good libraries for elasticsearch, the official Elasticsearch client and another one from community olivere elastic, both is good, but at this moment only the official client supports 8 version of elasticsearch and for serious production think it's the choice.
  • How to add multiple conditions in elastic search in github.com/olivere/elastic/v7 library
    2 projects | /r/golang | 9 Aug 2022
    I am using "github.com/olivere/elastic/v7" library to connect with my elastic search service
    2 projects | /r/golang | 9 Aug 2022
    You are using the Query DSL, which is documented here, and has examples for boolean combination queries, so if you want it built up in a more strongly-typed fashion, check the documentation for it: https://github.com/olivere/elastic/wiki/QueryDSL
  • Go EventSourcing and CQRS with PostgreSQL, Kafka, MongoDB and ElasticSearch 👋✨💫
    16 projects | dev.to | 18 Jul 2022
    ElasticSearch repository implementation uses go-elasticsearch official library, another good one is olivere elastic but here it's not support 8 version which used for this project.
  • Go EventSourcing and CQRS microservice using EventStoreDB 👋⚡️💫
    12 projects | dev.to | 27 Feb 2022
    In this project we have microservice working with EventStoreDB using oficial go client, for [projections (https://zimarev.com/blog/event-sourcing/projections/) used MongoDB and Elasticsearch for search, and communicate by gRPC and REST. Did not implement here any interesting business logic and didn't cover tests, because don't have enough time, the events list is very simple: create a new order, update shopping cart, pay, submit, cancel, change the delivery address, complete order, and of course in real-world better use more concrete and meaningfully events, but the target here is to show the idea and how it works. Event Sourcing can be implemented in different ways, used here EventStoreDB, but we can do it with PostgreSQL and Kafka for example. After trying both approaches, found EventStoreDB is a better solution because all required features are implemented out of the box, it is optimized and really very good engineers developing it.
  • How to add current time into a field in ES?
    5 projects | /r/elasticsearch | 18 Aug 2021
  • Elasticsearch in Go, Err: “the client noticed that the server is not Elasticsearch and we do not support this unknown product”
    5 projects | /r/golang | 16 Aug 2021
    At $prevJob we used https://github.com/olivere/elastic though I left that job around the time that ES and Amazon started their flame war so I don't know how well it works given these licensing changes. Just thought I'd give a plug for that library though
    5 projects | /r/golang | 16 Aug 2021
    Relevant Discussion from the maintainer
    5 projects | /r/golang | 16 Aug 2021
    Use this library instead: https://github.com/olivere/elastic It is better supported, with more stars and activity.

bleve

Posts with mentions or reviews of bleve. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-04.
  • Hermes v1.7
    3 projects | /r/golang | 4 Jun 2023
    I don't have the answer to that, but the project has been alive for many years. Seems maybe you should find the answer since you are developing a competing solution? Also it might be a good reference project for solving similar problems to yours. They do have bench tests you could play with https://github.com/blevesearch/bleve/blob/master/query_bench_test.go
  • Seeking a free full text search solution for large data with progress display
    5 projects | /r/golang | 26 May 2023
    I know of https://github.com/blevesearch/bleve and I think there was another project for full text search that I can't find now.
  • Any Full Text Search library for json data?
    13 projects | /r/golang | 1 Jan 2023
    Maybe blave or bluge
    13 projects | /r/golang | 1 Jan 2023
  • An alternative to Elasticsearch that runs on a few MBs of RAM
    65 projects | news.ycombinator.com | 24 Oct 2022
    I would be interested in such a testbed. I would also like to know how Bleve Search (https://github.com/blevesearch/bleve) turns out.

    I have for many years now a small search engine project in my free-time pipeline, but I'm before crawling even and I intend to sit for searching part after some of that.

  • What is the coolest Go open source projects you have seen?
    84 projects | /r/golang | 15 Sep 2022
  • BetterCache 2.0 (has full text search/remove, etc.)
    5 projects | /r/golang | 2 Sep 2022
    Haha. Seriously I can’t tell the difference between these libraries https://github.com/blevesearch/bleve
  • I want to dive into how to make search engines
    16 projects | news.ycombinator.com | 25 Aug 2022
    I've never worked on a project that encompasses as many computer science algorithms as a search engine. There are a lot of topics you can lookup in "Information Storage and Retrieval":

    - Tries (patricia, radix, etc...)

    - Trees (b-trees, b+trees, merkle trees, log-structured merge-tree, etc..)

    - Consensus (raft, paxos, etc..)

    - Block storage (disk block size optimizations, mmap files, delta storage, etc..)

    - Probabilistic filters (hyperloloog, bloom filters, etc...)

    - Binary Search (sstables, sorted inverted indexes, roaring bitmaps)

    - Ranking (pagerank, tf/idf, bm25, etc...)

    - NLP (stemming, POS tagging, subject identification, sentiment analysis etc...)

    - HTML (document parsing/lexing)

    - Images (exif extraction, removal, resizing / proxying, etc...)

    - Queues (SQS, NATS, Apollo, etc...)

    - Clustering (k-means, density, hierarchical, gaussian distributions, etc...)

    - Rate limiting (leaky bucket, windowed, etc...)

    - Compression

    - Applied linear algebra

    - Text processing (unicode-normalization, slugify, sanitation, lossless and lossy hashing like metaphone and document fingerprinting)

    - etc...

    I'm sure there is plenty more I've missed. There are lots of generic structures involved like hashes, linked-lists, skip-lists, heaps and priority queues and this is just to get 2000's level basic tech.

    - https://github.com/quickwit-oss/tantivy

    - https://github.com/valeriansaliou/sonic

    - https://github.com/mosuka/phalanx

    - https://github.com/meilisearch/MeiliSearch

    - https://github.com/blevesearch/bleve

    - https://github.com/thomasjungblut/go-sstables

    A lot of people new to this space mistakenly think you can just throw elastic search or postgres fulltext search in front of terabytes of records and have something decent. The problem is that search with good rankings often requires custom storage so calculations can be sharded among multiple nodes and you can do layered ranking without passing huge blobs of results between systems.

  • Why Writing Your Own Search Engine Is Hard (2004)
    5 projects | news.ycombinator.com | 23 Jul 2022
    For those curious, I'm on my 3rd search engine as I keep discovering new methods of compactly and efficiently processing and querying results.

    There isn't a one-size-fits all approach, but I've never worked on a project that encompasses as many computer science algorithms as a search engine.

    - Tries (patricia, radix, etc...)

    - Trees (b-trees, b+trees, merkle trees, log-structured merge-tree, etc..)

    - Consensus (raft, paxos, etc..)

    - Block storage (disk block size optimizations, mmap files, delta storage, etc..)

    - Probabilistic filters (hyperloloog, bloom filters, etc...)

    - Binary Search (sstables, sorted inverted indexes)

    - Ranking (pagerank, tf/idf, bm25, etc...)

    - NLP (stemming, POS tagging, subject identification, etc...)

    - HTML (document parsing/lexing)

    - Images (exif extraction, removal, resizing / proxying, etc...)

    - Queues (SQS, NATS, Apollo, etc...)

    - Clustering (k-means, density, hierarchical, gaussian distributions, etc...)

    - Rate limiting (leaky bucket, windowed, etc...)

    - text processing (unicode-normalization, slugify, sanitation, lossless and lossy hashing like metaphone and document fingerprinting)

    - etc...

    I'm sure there is plenty more I've missed. There are lots of generic structures involved like hashes, linked-lists, skip-lists, heaps and priority queues and this is just to get 2000's level basic tech.

    - https://github.com/quickwit-oss/tantivy

    - https://github.com/valeriansaliou/sonic

    - https://github.com/mosuka/phalanx

    - https://github.com/meilisearch/MeiliSearch

    - https://github.com/blevesearch/bleve

    A lot of people new to this space mistakenly think you can just throw elastic search or postgres fulltext search in front of terabytes of records and have something decent. That might work for something small like a curated collection of a few hundred sites.

  • Mattermost – open-source platform for secure collaboration
    6 projects | news.ycombinator.com | 24 Jun 2022
    Search in SQL databases is a tough beast to get it right. And given that we support MySQL and Postgres both, it gets even harder to support quirks of both of them.

    In enterprise editions, the only addition is Elasticsearch. But in our open-source version, we do have support for https://github.com/blevesearch/bleve. Although, it's in beta, we have a lot of customers using it.

    I am wondering if you have tried using it and didn't like it?

What are some alternatives?

When comparing elastic and bleve you can also consider the following projects:

Elasticsearch - Free and Open, Distributed, RESTful Search Engine

go-elasticsearch-examples - Official golang elasticsearch driver examples

goriak - goriak - Go language driver for Riak KV

elasticsql - convert sql to elasticsearch DSL in golang(go)

goes

elastigo - A Go (golang) based Elasticsearch client library.

skizze - A probabilistic data structure service and storage