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DBMS > Apache Phoenix vs. Databricks vs. Datomic vs. Heroic vs. LokiJS

System Properties Comparison Apache Phoenix vs. Databricks vs. Datomic vs. Heroic vs. LokiJS

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonDatabricks  Xexclude from comparisonDatomic  Xexclude from comparisonHeroic  Xexclude from comparisonLokiJS  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseThe 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.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchIn-memory JavaScript DBMS
Primary database modelRelational DBMSDocument store
Relational DBMS
Relational DBMSTime Series DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score0.43
Rank#264  Overall
#42  Document stores
Websitephoenix.apache.orgwww.databricks.comwww.datomic.comgithub.com/­spotify/­heroicgithub.com/­techfort/­LokiJS
Technical documentationphoenix.apache.orgdocs.databricks.comdocs.datomic.comspotify.github.io/­heroictechfort.github.io/­LokiJS
DeveloperApache Software FoundationDatabricksCognitectSpotify
Initial release20142013201220142014
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.0.6735, June 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infolimited edition freeOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ClojureJavaJavaScript
Server operating systemsLinux
Unix
Windows
hostedAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyes infolate-bound, schema-on-read capabilitiesFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.noyesnonono
Secondary indexesyesyesyesyes infovia Elasticsearchyes infovia views
SQL infoSupport of SQLyeswith Databricks SQLnonono
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIHQL (Heroic Query Language, a JSON-based language)
HTTP API
JavaScript API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Python
R
Scala
Clojure
Java
JavaScript
Server-side scripts infoStored proceduresuser defined functionsuser defined functions and aggregatesyes infoTransaction FunctionsnoView functions in JavaScript
TriggersnoBy using transaction functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesnone infoBut extensive use of caching in the application peersyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
none
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono infoatomic operations within a single collection possible
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.
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 developmentnoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynono
More information provided by the system vendor
Apache PhoenixDatabricksDatomicHeroicLokiJS
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Apache PhoenixDatabricksDatomicHeroicLokiJS
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