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DBMS > AntDB vs. Apache Impala vs. Datomic vs. OceanBase

System Properties Comparison AntDB vs. Apache Impala vs. Datomic vs. OceanBase

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Editorial information provided by DB-Engines
NameAntDB  Xexclude from comparisonApache Impala  Xexclude from comparisonDatomic  Xexclude from comparisonOceanBase  Xexclude from comparison
DescriptionA scalable, multi-tenant, MPP-architectured RDBMS for OLTP and OLAP operations, highly compatible with OracleAnalytic DBMS for HadoopDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA distributed, high available RDBMS compatible with Oracle and MySQL
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#317  Overall
#141  Relational DBMS
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score1.57
Rank#149  Overall
#69  Relational DBMS
Websitewww.asiainfo.com/­en_us/­product_aisware_antdb_detail.htmlimpala.apache.orgwww.datomic.comen.oceanbase.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.datomic.comen.oceanbase.com/­docs/­oceanbase-database
DeveloperAsiaInfo Technologies LimitedApache Software Foundation infoApache top-level project, originally developed by ClouderaCognitectOceanBase infopreviously Alibaba and Ant Group
Initial release201320122010
Current release4.1.0, June 20221.0.7075, December 20234.3.0, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercial infolimited edition freeOpen Source infoCommercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, ClojureC++
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.nonoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL2016 compliantSQL-like DML and DDL statementsnoyes
APIs and other access methodsJDBC
MySQL protocol compliant
ODBC
JDBC
ODBC
RESTful HTTP APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
Supported programming languagesAll languages supporting JDBC/ODBCClojure
Java
Ada infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infoTransaction FunctionsPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible mode
TriggersyesnoBy using transaction functionsyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peershorizontal partitioning (by hash, key, range, range columns, list, and list columns)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone infoBut extensive use of caching in the application peersMulti-source replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes inforecommended only for testing and development
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
AntDBApache ImpalaDatomicOceanBase
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