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DBMS > Apache Kylin vs. EsgynDB vs. HarperDB vs. Weaviate

System Properties Comparison Apache Kylin vs. EsgynDB vs. HarperDB vs. Weaviate

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonEsgynDB  Xexclude from comparisonHarperDB  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 stackEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.An AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSRelational DBMSDocument storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitekylin.apache.orgwww.esgyn.cnwww.harperdb.iogithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationkylin.apache.org/­docsdocs.harperdb.io/­docsweaviate.io/­developers/­weaviate
DeveloperApache Software Foundation, originally contributed from eBay IncEsgynHarperDBWeaviate B.V.
Initial release2015201520172019
Current release3.1.0, July 20203.1, August 20211.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infofree community edition availableOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, JavaNode.jsGo
Server operating systemsLinuxLinuxLinux
OS X
Data schemeyesyesdynamic schemayes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesyes 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.nononono
Secondary indexesyesyesyesyes 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)yesSQL-like data manipulation statementsGraphQL is used as query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresJava Stored ProceduresCustom Functions infosince release 3.1no
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyes infothe nodes on which a table resides can be definedyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Apache KylinEsgynDBHarperDBWeaviate
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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More resources
Apache KylinEsgynDBHarperDBWeaviate
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