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DBMS > BigObject vs. Databricks vs. Datomic vs. EJDB vs. Greenplum

System Properties Comparison BigObject vs. Databricks vs. Datomic vs. EJDB vs. Greenplum

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonDatabricks  Xexclude from comparisonDatomic  Xexclude from comparisonEJDB  Xexclude from comparisonGreenplum  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesThe 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 durabilityEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedDocument store
Relational DBMS
Relational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.27
Rank#297  Overall
#44  Document stores
Score8.37
Rank#48  Overall
#30  Relational DBMS
Websitebigobject.iowww.databricks.comwww.datomic.comgithub.com/­Softmotions/­ejdbgreenplum.org
Technical documentationdocs.bigobject.iodocs.databricks.comdocs.datomic.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.greenplum.org
DeveloperBigObject, Inc.DatabricksCognitectSoftmotionsPivotal Software Inc.
Initial release20152013201220122005
Current release1.0.6735, June 20237.0.0, September 2023
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialcommercial infolimited edition freeOpen Source infoGPLv2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hostedAll OS with a Java VMserver-lessLinux
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, bool, date, object_idyes
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.noyesnoyes infosince Version 4.2
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementswith Databricks SQLnonoyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIin-process shared libraryJDBC
ODBC
Supported programming languagesPython
R
Scala
Clojure
Java
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
Java
Perl
Python
R
Server-side scripts infoStored proceduresLuauser defined functions and aggregatesyes infoTransaction Functionsnoyes
TriggersnoBy using transaction functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnone infoBut extensive use of caching in the application peersnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnono infotypically not needed, however similar functionality with collection joins possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes infoRead/Write Lockingyes
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.yesnoyes inforecommended only for testing and developmentno
User concepts infoAccess controlnononofine grained access rights according to SQL-standard
More information provided by the system vendor
BigObjectDatabricksDatomicEJDBGreenplum
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BigObjectDatabricksDatomicEJDBGreenplum
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