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DBMS > AgensGraph vs. Apache Impala vs. Badger vs. mSQL

System Properties Comparison AgensGraph vs. Apache Impala vs. Badger vs. mSQL

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonApache Impala  Xexclude from comparisonBadger  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLAnalytic DBMS for HadoopAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.mSQL (Mini SQL) is a simple and lightweight RDBMS
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.22
Rank#320  Overall
#47  Key-value stores
Score1.27
Rank#169  Overall
#76  Relational DBMS
Websitebitnine.net/­agensgraphimpala.apache.orggithub.com/­dgraph-io/­badgerhughestech.com.au/­products/­msql
Technical documentationbitnine.net/­documentationimpala.apache.org/­impala-docs.htmlgodoc.org/­github.com/­dgraph-io/­badger
DeveloperBitnine Global Inc.Apache Software Foundation infoApache top-level project, originally developed by ClouderaDGraph LabsHughes Technologies
Initial release2016201320171994
Current release2.1, December 20184.1.0, June 20224.4, October 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2Open Source infoApache 2.0commercial infofree licenses can be provided
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++GoC
Server operating systemsLinux
OS X
Windows
LinuxBSD
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemedepending on used data modelyesschema-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.nononono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
APIs and other access methodsCypher Query Language
JDBC
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC
Java
JavaScript
Python
All languages supporting JDBC/ODBCGoC
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reducenono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistencynonenone
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnono

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More resources
AgensGraphApache ImpalaBadgermSQL infoMini SQL
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