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

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

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonchDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonOracle Coherence  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn embedded SQL OLAP Engine powered by ClickHouseEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionOracles 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
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.07
Rank#376  Overall
#158  Relational DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Websiteimpala.apache.orggithub.com/­chdb-io/­chdbwww.esgyn.cnwww.oracle.com/­java/­coherence
Technical documentationimpala.apache.org/­impala-docs.htmldoc.chdb.iodocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaEsgynOracle
Initial release2013202320152007
Current release4.1.0, June 202214.1, August 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, JavaJava
Server operating systemsLinuxserver-lessLinuxAll 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 SQLSQL-like DML and DDL statementsClose to ANSI SQL (SQL/JSON + extensions)yesno
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
JCache
JPA
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCBun
C
C++
Go
JavaScript (Node.js)
Python
Rust
All languages supporting JDBC/ODBC/ADO.Net.Net
C++
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceJava Stored Proceduresno
Triggersnonoyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
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 MapReduceyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDconfigurable
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 controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardauthentification to access the cache via certificates or http basic authentication

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More resources
Apache ImpalachDBEsgynDBOracle Coherence
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