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DBMS > Apache Impala vs. EsgynDB vs. GeoSpock vs. Oracle Coherence

System Properties Comparison Apache Impala vs. EsgynDB vs. GeoSpock vs. Oracle Coherence

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonEsgynDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonOracle Coherence  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionSpatial and temporal data processing engine for extreme data scaleOracles in-memory data grid solution
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument storeTime Series 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
Score1.92
Rank#130  Overall
#22  Key-value stores
Websiteimpala.apache.orgwww.esgyn.cngeospock.comwww.oracle.com/­java/­coherence
Technical documentationimpala.apache.org/­impala-docs.htmldocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaEsgynGeoSpockOracle
Initial release201320152007
Current release4.1.0, June 20222.0, September 201914.1, August 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, JavaJava, JavascriptJava
Server operating systemsLinuxLinuxhostedAll OS with a Java VM
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.nononono
Secondary indexesyesyestemporal, categoricalno
SQL infoSupport of SQLSQL-like DML and DDL statementsyesANSI SQL for query only (using Presto)no
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
JDBCJCache
JPA
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCAll languages supporting JDBC/ODBC/ADO.Net.Net
C++
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceJava Stored Proceduresnono
Triggersnononoyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication between multi datacentersyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardAccess rights for users can be defined per tableauthentification to access the cache via certificates or http basic authentication

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More resources
Apache ImpalaEsgynDBGeoSpockOracle Coherence
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