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DBMS > Apache Impala vs. EsgynDB vs. Greenplum vs. mSQL vs. Oracle Berkeley DB

System Properties Comparison Apache Impala vs. EsgynDB vs. Greenplum vs. mSQL vs. Oracle Berkeley DB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonEsgynDB  Xexclude from comparisonGreenplum  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAnalytic 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.mSQL (Mini SQL) is a simple and lightweight RDBMSWidely used in-process key-value store
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Websiteimpala.apache.orgwww.esgyn.cngreenplum.orghughestech.com.au/­products/­msqlwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationimpala.apache.org/­impala-docs.htmldocs.greenplum.orgdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaEsgynPivotal Software Inc.Hughes TechnologiesOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release20132015200519941994
Current release4.1.0, June 20227.0.0, September 20234.4, October 202118.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache 2.0commercial infofree licenses can be providedOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, JavaCC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinuxLinuxLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonoyes infosince Version 4.2noyes infoonly with the Berkeley DB XML edition
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyes infoSQL interfaced based on SQLite is available
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
JDBC
ODBC
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCAll languages supporting JDBC/ODBC/ADO.NetC
Java
Perl
Python
R
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceJava Stored Proceduresyesnono
Triggersnonoyesnoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication between multi datacentersSource-replica replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
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.nonononoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnono

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More resources
Apache ImpalaEsgynDBGreenplummSQL infoMini SQLOracle Berkeley DB
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