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DBMS > Databricks vs. Ehcache vs. H2 vs. IBM Cloudant vs. OushuDB

System Properties Comparison Databricks vs. Ehcache vs. H2 vs. IBM Cloudant vs. OushuDB

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEhcache  Xexclude from comparisonH2  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonOushuDB  Xexclude from comparison
DescriptionThe 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.A widely adopted Java cache with tiered storage optionsFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Database as a Service offering based on Apache CouchDBA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning
Primary database modelDocument store
Relational DBMS
Key-value storeRelational DBMSDocument storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Score0.10
Rank#355  Overall
#154  Relational DBMS
Websitewww.databricks.comwww.ehcache.orgwww.h2database.comwww.ibm.com/­products/­cloudantwww.oushu.com/­product/­oushuDB
Technical documentationdocs.databricks.comwww.ehcache.org/­documentationwww.h2database.com/­html/­main.htmlcloud.ibm.com/­docs/­Cloudantwww.oushu.com/­documentation
DeveloperDatabricksTerracotta Inc, owned by Software AGThomas MuellerIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Oushu
Initial release2013200920052010
Current release3.10.0, March 20222.2.220, July 20234.0.1, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaErlang
Server operating systemshostedAll OS with a Java VMAll OS with a Java VMhostedLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.yesnonono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLwith Databricks SQLnoyesnoFull-featured ANSI SQL support
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JCacheJDBC
ODBC
RESTful HTTP/JSON APIJDBC
ODBC
Supported programming languagesPython
R
Scala
JavaJavaC#
Java
JavaScript
Objective-C
PHP
Ruby
C
C++
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoJava Stored Procedures and User-Defined FunctionsView functions (Map-Reduce) in JavaScriptyes
Triggersyes infoCache Event Listenersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServernoneShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoby using Terracotta ServerWith clustering: 2 database servers on different computers operate on identical copies of a databaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesHadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceACIDno infoatomic operations within a document possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes infoOptimistic lockingyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users can be defined per databaseKerberos, SSL and role based access
More information provided by the system vendor
DatabricksEhcacheH2IBM CloudantOushuDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksEhcacheH2IBM CloudantOushuDB
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