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DBMS > Apache Kylin vs. Badger vs. Datomic vs. Ingres vs. OrientDB

System Properties Comparison Apache Kylin vs. Badger vs. Datomic vs. Ingres vs. OrientDB

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonBadger  Xexclude from comparisonDatomic  Xexclude from comparisonIngres  Xexclude from comparisonOrientDB  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityWell established RDBMSMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score0.14
Rank#331  Overall
#49  Key-value stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Websitekylin.apache.orggithub.com/­dgraph-io/­badgerwww.datomic.comwww.actian.com/­databases/­ingresorientdb.org
Technical documentationkylin.apache.org/­docsgodoc.org/­github.com/­dgraph-io/­badgerdocs.datomic.comdocs.actian.com/­ingreswww.orientdb.com/­docs/­last/­index.html
DeveloperApache Software Foundation, originally contributed from eBay IncDGraph LabsCognitectActian CorporationOrientDB LTD; CallidusCloud; SAP
Initial release2015201720121974 infooriginally developed at University Berkely in early 1970s2010
Current release3.1.0, July 20201.0.6735, June 202311.2, May 20223.2.29, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial infolimited edition freecommercialOpen Source infoApache version 2
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 languageJavaGoJava, ClojureCJava
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
All OS with a Java JDK (>= JDK 6)
Data schemeyesschema-freeyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)nonoyesSQL-like query language, no joins
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP API.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesGoClojure
Java
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyes infoTransaction FunctionsyesJava, Javascript
TriggersnoBy using transaction functionsyesHooks
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peershorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoBut extensive use of caching in the application peersIngres ReplicatorMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes inforecommended only for testing and developmentno
User concepts infoAccess controlnonofine grained access rights according to SQL-standardAccess rights for users and roles; record level security configurable

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More resources
Apache KylinBadgerDatomicIngresOrientDB
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