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DBMS > Databricks vs. EsgynDB vs. Geode vs. OpenQM vs. Percona Server for MongoDB

System Properties Comparison Databricks vs. EsgynDB vs. Geode vs. OpenQM vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEsgynDB  Xexclude from comparisonGeode  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonPercona Server for MongoDB  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.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesQpenQM is a high-performance, self-tuning, multi-value DBMSA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value storeMultivalue DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Websitewww.databricks.comwww.esgyn.cngeode.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationdocs.databricks.comgeode.apache.org/­docsdocs.percona.com/­percona-distribution-for-mongodb
DeveloperDatabricksEsgynOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Rocket Software, originally Martin PhillipsPercona
Initial release20132015200219932015
Current release1.1, February 20173.4-123.4.10-2.10, November 2017
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoGPLv2, extended commercial license availableOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaJavaC++
Server operating systemshostedLinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyes infowith some exceptionsschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.yesnonoyesno
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLwith Databricks SQLyesSQL-like query language (OQL)nono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Java Client API
Memcached protocol
RESTful HTTP API
proprietary protocol using JSON
Supported programming languagesPython
R
Scala
All languages supporting JDBC/ODBC/ADO.Net.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresuser defined functions and aggregatesJava Stored Proceduresuser defined functionsyesJavaScript
Triggersnoyes infoCache Event Listenersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication between multi datacentersMulti-source replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes, on a single nodeACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes infovia In-Memory Engine
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights per client and object definableAccess rights can be defined down to the item levelAccess rights for users and roles
More information provided by the system vendor
DatabricksEsgynDBGeodeOpenQM infoalso called QMPercona Server for MongoDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksEsgynDBGeodeOpenQM infoalso called QMPercona Server for MongoDB
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