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DBMS > Apache Kylin vs. Dgraph vs. EsgynDB vs. RocksDB vs. Weaviate

System Properties Comparison Apache Kylin vs. Dgraph vs. EsgynDB vs. RocksDB vs. Weaviate

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonRocksDB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionEmbeddable persistent key-value store optimized for fast storage (flash and RAM)An AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSGraph DBMSRelational DBMSKey-value storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score3.41
Rank#86  Overall
#11  Key-value stores
Score1.52
Rank#153  Overall
#5  Vector DBMS
Websitekylin.apache.orgdgraph.iowww.esgyn.cnrocksdb.orggithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationkylin.apache.org/­docsdgraph.io/­docsgithub.com/­facebook/­rocksdb/­wikiweaviate.io/­developers/­weaviate
DeveloperApache Software Foundation, originally contributed from eBay IncDgraph Labs, Inc.EsgynFacebook, Inc.Weaviate B.V.
Initial release20152016201520132019
Current release3.1.0, July 20209.2.1, May 20241.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialOpen Source infoBSDOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++, JavaC++Go
Server operating systemsLinuxLinux
OS X
Windows
LinuxLinux
Data schemeyesschema-freeyesschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyesnoyes 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.nonononono
Secondary indexesyesyesyesnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)noyesnoGraphQL is used as query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
C++ API
Java API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC
C++
Go
Java
Perl
Python
Ruby
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnoJava Stored Proceduresnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesyesShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication between multi datacentersyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardnoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Apache KylinDgraphEsgynDBRocksDBWeaviate
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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3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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More resources
Apache KylinDgraphEsgynDBRocksDBWeaviate
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