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DBMS > EJDB vs. Firebolt vs. Heroic vs. Hypertable vs. Weaviate

System Properties Comparison EJDB vs. Firebolt vs. Heroic vs. Hypertable vs. Weaviate

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonFirebolt  Xexclude from comparisonHeroic  Xexclude from comparisonHypertable  Xexclude from comparisonWeaviate  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Highly scalable cloud data warehouse and analytics product infoForked from ClickhouseTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchAn open source BigTable implementation based on distributed file systems such as HadoopAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelDocument storeRelational DBMSTime Series DBMSWide column storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#296  Overall
#44  Document stores
Score1.73
Rank#140  Overall
#63  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score1.52
Rank#153  Overall
#6  Vector DBMS
Websitegithub.com/­Softmotions/­ejdbwww.firebolt.iogithub.com/­spotify/­heroicgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.firebolt.iospotify.github.io/­heroicweaviate.io/­developers/­weaviate
DeveloperSoftmotionsFirebolt Analytics Inc.SpotifyHypertable Inc.Weaviate B.V.
Initial release20122020201420092019
Current release0.9.8.11, March 20161.19, May 2023
License infoCommercial or Open SourceOpen Source infoGPLv2commercialOpen Source infoApache 2.0Open Source infoGNU version 3. Commercial license availableOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC++Go
Server operating systemsserver-lesshostedLinux
OS X
Windows infoan inofficial Windows port is available
Data schemeschema-freeyesschema-freeschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyesnoyes infostring, int, float, geo point, date, cross reference, fuzzy references
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesnoyesyes infovia Elasticsearchrestricted infoonly exact value or prefix value scansyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoyesnonoGraphQL is used as query language
APIs and other access methodsin-process shared library.Net
ODBC
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
C++ API
Thrift
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Go
JavaScript (Node.js)
Python
C++
Java
Perl
PHP
Python
Ruby
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnonononono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonedepending on storage layeryesselectable replication factor on file system levelyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnonoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
EJDBFireboltHeroicHypertableWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
» more
Key customersAll companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
EJDBFireboltHeroicHypertableWeaviate
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