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

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

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEsgynDB  Xexclude from comparisonFirebird  Xexclude from comparisonGeode  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 TrafodionFirebird is an open source RDBMS forked from Borland's InterBaseGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSKey-value storeDocument 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
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score0.52
Rank#254  Overall
#39  Document stores
Websitewww.databricks.comwww.esgyn.cnwww.firebirdsql.orggeode.apache.orgwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationdocs.databricks.comwww.firebirdsql.org/­en/­reference-manualsgeode.apache.org/­docsdocs.percona.com/­percona-distribution-for-mongodb
DeveloperDatabricksEsgynFirebird FoundationOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Percona
Initial release201320152000 infoAs fork of Borland's InterBase20022015
Current release5.0.0, January 20241.1, February 20173.4.10-2.10, November 2017
License infoCommercial or Open SourcecommercialcommercialOpen Source infoInitial Developer's Public LicenseOpen Source infoApache Version 2; commercial licenses available as GemfireOpen 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++, JavaC and C++JavaC++
Server operating systemshostedLinuxAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-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.yesnonono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLwith Databricks SQLyesyesSQL-like query language (OQL)no
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
Java Client API
Memcached protocol
RESTful HTTP API
proprietary protocol using JSON
Supported programming languagesPython
R
Scala
All languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
.Net
All JVM based languages
C++
Groovy
Java
Scala
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 ProceduresPSQLuser defined functionsJavaScript
Triggersnoyesyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication between multi datacentersSource-replica replicationMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes
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-standardUsers with fine-grained authorization conceptAccess rights per client and object definableAccess rights for users and roles
More information provided by the system vendor
DatabricksEsgynDBFirebirdGeodePercona Server for MongoDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksEsgynDBFirebirdGeodePercona Server for MongoDB
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