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DBMS > Databricks vs. EJDB vs. EsgynDB vs. LevelDB vs. Weaviate

System Properties Comparison Databricks vs. EJDB vs. EsgynDB vs. LevelDB vs. Weaviate

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEJDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonLevelDB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Embeddable document-store database library with JSON representation of queries (in MongoDB style)Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelDocument store
Relational DBMS
Document storeRelational DBMSKey-value storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.27
Rank#297  Overall
#44  Document stores
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitewww.databricks.comgithub.com/­Softmotions/­ejdbwww.esgyn.cngithub.com/­google/­leveldbgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.databricks.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdweaviate.io/­developers/­weaviate
DeveloperDatabricksSoftmotionsEsgynGoogleWeaviate B.V.
Initial release20132012201520112019
Current release1.23, February 20211.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2commercialOpen Source infoBSDOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++, JavaC++Go
Server operating systemshostedserver-lessLinuxIllumos
Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesnoyes 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.yesnonono
Secondary indexesyesnoyesnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLwith Databricks SQLnoyesnoGraphQL is used as query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
in-process shared libraryADO.NET
JDBC
ODBC
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesPython
R
Scala
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoJava Stored Proceduresnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication between multi datacentersnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardnoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
DatabricksEJDBEsgynDBLevelDBWeaviate
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
Weaviate 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...
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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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DatabricksEJDBEsgynDBLevelDBWeaviate
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