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DBMS > Apache Impala vs. Datomic vs. EsgynDB vs. MySQL vs. SAP HANA

System Properties Comparison Apache Impala vs. Datomic vs. EsgynDB vs. MySQL vs. SAP HANA

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDatomic  Xexclude from comparisonEsgynDB  Xexclude from comparisonMySQL  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionWidely used open source RDBMSIn-memory, column based data store. Available as appliance or cloud service
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS infoKey/Value like access via memcached APIRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.06
Rank#39  Overall
#24  Relational DBMS
Score2.08
Rank#132  Overall
#64  Relational DBMS
Score0.26
Rank#311  Overall
#141  Relational DBMS
Score1101.50
Rank#2  Overall
#2  Relational DBMS
Score45.49
Rank#22  Overall
#16  Relational DBMS
Websiteimpala.apache.orgwww.datomic.comwww.esgyn.cnwww.mysql.comwww.sap.com/­products/­hana.html
Technical documentationimpala.apache.org/­impala-docs.htmldocs.datomic.comdev.mysql.com/­dochelp.sap.com/­hana
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCognitectEsgynOracle infosince 2010, originally MySQL AB, then SunSAP
Initial release20132012201519952010
Current release4.1.0, June 20221.0.6735, June 20238.3.0, January 20242.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infolimited edition freecommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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Implementation languageC++Java, ClojureC++, JavaC and C++
Server operating systemsLinuxAll OS with a Java VMLinuxFreeBSD
Linux
OS X
Solaris
Windows
Appliance or cloud-service
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononoyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesyes infowith proprietary extensionsyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCClojure
Java
All languages supporting JDBC/ODBC/ADO.NetAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infoTransaction FunctionsJava Stored Proceduresyes infoproprietary syntaxSQLScript, R
TriggersnoBy using transaction functionsnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL Fabricyes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone infoBut extensive use of caching in the application peersMulti-source replication between multi datacentersMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID infonot for MyISAM storage engineACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
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 developmentnoyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnofine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or rolesyes

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More resources
Apache ImpalaDatomicEsgynDBMySQLSAP HANA
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