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DBMS > Apache Phoenix vs. Databricks vs. MarkLogic vs. Oracle Coherence vs. Warp 10

System Properties Comparison Apache Phoenix vs. Databricks vs. MarkLogic vs. Oracle Coherence vs. Warp 10

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonDatabricks  Xexclude from comparisonMarkLogic  Xexclude from comparisonOracle Coherence  Xexclude from comparisonWarp 10  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.Operational and transactional Enterprise NoSQL databaseOracles in-memory data grid solutionTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSDocument store
Relational DBMS
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Key-value storeTime Series DBMS
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
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score1.92
Rank#130  Overall
#22  Key-value stores
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitephoenix.apache.orgwww.databricks.comwww.marklogic.comwww.oracle.com/­java/­coherencewww.warp10.io
Technical documentationphoenix.apache.orgdocs.databricks.comdocs.marklogic.comdocs.oracle.com/­en/­middleware/­standalone/­coherencewww.warp10.io/­content/­02_Getting_started
DeveloperApache Software FoundationDatabricksMarkLogic Corp.OracleSenX
Initial release20142013200120072015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201911.0, December 202214.1, August 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial inforestricted free version is availablecommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaJava
Server operating systemsLinux
Unix
Windows
hostedLinux
OS X
Windows
All OS with a Java VMLinux
OS X
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesFlexible Schema (defined schema, partial schema, schema free)schema-free infoSchema can be enforcedschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesyesnono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLyeswith Databricks SQLyes infoSQL92nono
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
JCache
JPA
RESTful HTTP API
HTTP API
Jupyter
WebSocket
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Python
R
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C++
Java
Server-side scripts infoStored proceduresuser defined functionsuser defined functions and aggregatesyes infovia XQuery or JavaScriptnoyes infoWarpScript
Triggersnoyesyes infoLive Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyesyes, with selectable consistency levelselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency infobased on HBase
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infocan act as a resource manager in an XA/JTA transactionconfigurableno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infooptionallyyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes, with Range Indexesyesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyRole-based access control at the document and subdocument levelsauthentification to access the cache via certificates or http basic authenticationMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
Apache PhoenixDatabricksMarkLogicOracle CoherenceWarp 10
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Apache PhoenixDatabricksMarkLogicOracle CoherenceWarp 10
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