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DBMS > EsgynDB vs. Impala vs. Oracle Coherence

System Properties Comparison EsgynDB vs. Impala vs. Oracle Coherence

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonImpala  Xexclude from comparisonOracle Coherence  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAnalytic DBMS for HadoopOracles in-memory data grid solution
Primary database modelRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#274  Overall
#126  Relational DBMS
Score18.17
Rank#37  Overall
#23  Relational DBMS
Score2.44
Rank#102  Overall
#18  Key-value stores
Websiteesgyn.comwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlwww.oracle.com/­middleware/­technologies/­coherence.html
Technical documentationesgyn.com/­developersdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmldocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperEsgynClouderaOracle
Initial release201520132007
Current release3.4.0, April 202012c, September 2016
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaC++Java
Server operating systemsLinuxLinuxAll OS with a Java VM
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesyesyesno
SQL infoSupport of SQLyesSQL-like DML and DDL statementsno
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
JCache
JPA
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetAll languages supporting JDBC/ODBC.Net
C++
Java
Server-side scripts infoStored proceduresJava Stored Proceduresyes infouser defined functions and integration of map-reduceno
Triggersnonoyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersselectable replication factoryes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosauthentification to access the cache via certificates or http basic authentication

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More resources
EsgynDBImpalaOracle Coherence
Recent citations in the news

Mphasis partners with Esgyn Corporation to optimize Open-Source frameworks and expand industry footprint
24 May 2019, PRNewswire

The Apache Software Foundation Announces Apache® Trafodion™ as a Top-Level Project
10 January 2018, GlobeNewswire

Esgyn Corporation and Ampool Partner to Bring In-Memory Optimized Operational, Transactional and Real-Time Analytics to Hadoop.
18 May 2017, PR Newswire

provided by Google News

Cloudera Boosts Hadoop App Development On Impala
10 November 2014, InformationWeek

Cloudera says Impala is faster than Hive, which isn't saying much – Gigaom
13 January 2014, GigaOM

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25 October 2012, ZDNet

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28 August 2018, ZDNet

Cloudera: Impala's it for interactive SQL on Hadoop; everything else will move to Spark – Gigaom
3 July 2014, GigaOM

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