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DBMS > Apache Impala vs. Graph Engine vs. mSQL vs. OrigoDB vs. Warp 10

System Properties Comparison Apache Impala vs. Graph Engine vs. mSQL vs. OrigoDB vs. Warp 10

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOrigoDB  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation enginemSQL (Mini SQL) is a simple and lightweight RDBMSA fully ACID in-memory object graph databaseTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSGraph DBMS
Key-value store
Relational DBMSDocument store
Object oriented DBMS
Time Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websiteimpala.apache.orgwww.graphengine.iohughestech.com.au/­products/­msqlorigodb.comwww.warp10.io
Technical documentationimpala.apache.org/­impala-docs.htmlwww.graphengine.io/­docs/­manualorigodb.com/­docswww.warp10.io/­content/­02_Getting_started
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaMicrosoftHughes TechnologiesRobert Friberg et alSenX
Initial release2013201019942009 infounder the name LiveDB2015
Current release4.1.0, June 20224.4, October 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoMIT Licensecommercial infofree licenses can be providedOpen SourceOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++.NET and CCC#Java
Server operating systemsLinux.NETAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesUser defined using .NET types and collectionsyes
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 infocan be achieved using .NETno
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIJDBC
ODBC
.NET Client API
HTTP API
LINQ
HTTP API
Jupyter
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
F#
Visual Basic
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesnoyesyes infoWarpScript
Triggersnononoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnonehorizontal partitioning infoclient side managed; servers are not synchronizedSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneSource-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynononodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoRole based authorizationMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Apache ImpalaGraph Engine infoformer name: TrinitymSQL infoMini SQLOrigoDBWarp 10
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