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DBMS > EsgynDB vs. Greenplum vs. Impala vs. Warp 10

System Properties Comparison EsgynDB vs. Greenplum vs. Impala vs. Warp 10

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGreenplum  Xexclude from comparisonImpala  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionEnterprise-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.Analytic DBMS for HadoopTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.24
Rank#279  Overall
#128  Relational DBMS
Score13.07
Rank#42  Overall
#26  Relational DBMS
Score18.68
Rank#38  Overall
#23  Relational DBMS
Score0.16
Rank#294  Overall
#25  Time Series DBMS
Websitewww.esgyn.cngreenplum.orgwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlwww.warp10.io
Technical documentationdocs.greenplum.orgdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmlwww.warp10.io/­content/­02_Getting_started
DeveloperEsgynPivotal Software Inc.ClouderaSenX
Initial release2015200520132015
Current release6.7.1, April 20203.4.0, April 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaC++Java
Server operating systemsLinuxLinuxLinuxLinux
OS X
Windows
Data schemeyesyesyesschema-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.noyes infosince Version 4.2nono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesyesSQL-like DML and DDL statementsno
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
JDBC
ODBC
HTTP API
Jupyter
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC
Java
Perl
Python
R
All languages supporting JDBC/ODBC
Server-side scripts infoStored proceduresJava Stored Proceduresyesyes infouser defined functions and integration of map-reduceyes infoWarpScript
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersSource-replica replicationselectable replication factorselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nononoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and KerberosMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
EsgynDBGreenplumImpalaWarp 10
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