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DBMS > Apache Phoenix vs. BoltDB vs. Datomic vs. Lovefield vs. Splunk

System Properties Comparison Apache Phoenix vs. BoltDB vs. Datomic vs. Lovefield vs. Splunk

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBoltDB  Xexclude from comparisonDatomic  Xexclude from comparisonLovefield  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseAn embedded key-value store for Go.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityEmbeddable relational database for web apps written in pure JavaScriptAnalytics Platform for Big Data
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.74
Rank#220  Overall
#31  Key-value stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score86.45
Rank#14  Overall
#2  Search engines
Websitephoenix.apache.orggithub.com/­boltdb/­boltwww.datomic.comgoogle.github.io/­lovefieldwww.splunk.com
Technical documentationphoenix.apache.orgdocs.datomic.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.splunk.com/­Documentation/­Splunk
DeveloperApache Software FoundationCognitectGoogleSplunk Inc.
Initial release20142013201220142003
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.0.6735, June 20232.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT Licensecommercial infolimited edition freeOpen Source infoApache 2.0commercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJava, ClojureJavaScript
Server operating systemsLinux
Unix
Windows
BSD
Linux
OS X
Solaris
Windows
All OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
Solaris
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesyesyes
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.nonononoyes
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyesnonoSQL-like query language infovia JavaScript builder patternno infoSplunk Search Processing Language for search commands
APIs and other access methodsJDBCRESTful HTTP APIHTTP REST
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
GoClojure
Java
JavaScriptC#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsnoyes infoTransaction Functionsnoyes
TriggersnonoBy using transaction functionsUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone infoBut extensive use of caching in the application peersnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
nonenone infoBut extensive use of caching in the application peersnoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencynoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes inforecommended only for testing and developmentyes infousing MemoryDBno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynononoAccess rights for users and roles

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More resources
Apache PhoenixBoltDBDatomicLovefieldSplunk
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