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DBMS > Apache Impala vs. Datomic vs. EXASOL vs. Kyligence Enterprise

System Properties Comparison Apache Impala vs. Datomic vs. EXASOL vs. Kyligence Enterprise

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDatomic  Xexclude from comparisonEXASOL  Xexclude from comparisonKyligence Enterprise  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A distributed analytics engine for big data, built on top of Apache Kylin
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score0.46
Rank#266  Overall
#124  Relational DBMS
Websiteimpala.apache.orgwww.datomic.comwww.exasol.comkyligence.io/­kyligence-enterprise
Technical documentationimpala.apache.org/­impala-docs.htmldocs.datomic.comwww.exasol.com/­resources
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCognitectExasolKyligence, Inc.
Initial release2013201220002016
Current release4.1.0, June 20221.0.7075, December 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infolimited edition freecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, ClojureJava
Server operating systemsLinuxAll OS with a Java VMLinux
Data schemeyesyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesANSI SQL for queries (using Apache Calcite)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCClojure
Java
Java
Lua
Python
R
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infoTransaction Functionsuser defined functions
TriggersnoBy using transaction functionsyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone infoBut extensive use of caching in the application peers
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyes infoHadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache ImpalaDatomicEXASOLKyligence Enterprise
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