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DBMS > AntDB vs. Apache Impala vs. Apache Pinot

System Properties Comparison AntDB vs. Apache Impala vs. Apache Pinot

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Editorial information provided by DB-Engines
NameAntDB  Xexclude from comparisonApache Impala  Xexclude from comparisonApache Pinot  Xexclude from comparison
DescriptionA scalable, multi-tenant, MPP-architectured RDBMS for OLTP and OLAP operations, highly compatible with OracleAnalytic DBMS for HadoopRealtime distributed OLAP datastore, designed to answer OLAP queries with low latency
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument 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
Score0.38
Rank#275  Overall
#126  Relational DBMS
Websitewww.asiainfo.com/­en_us/­product_aisware_antdb_detail.htmlimpala.apache.orgpinot.apache.org
Technical documentationimpala.apache.org/­impala-docs.htmldocs.pinot.apache.org
DeveloperAsiaInfo Technologies LimitedApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software Foundation and contributors
Initial release20132015
Current release4.1.0, June 20221.0.0, September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemsLinuxAll OS with a Java JDK11 or higher
Data schemeyesyesyes
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.no
Secondary indexesyesyes
SQL infoSupport of SQLSQL2016 compliantSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsJDBC
MySQL protocol compliant
ODBC
JDBC
ODBC
JDBC
Supported programming languagesAll languages supporting JDBC/ODBCGo
Java
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduce
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberos

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More resources
AntDBApache ImpalaApache Pinot
DB-Engines blog posts

AntDB: Answer to Database Evolution - Hyperconverged All-in-One Streaming Engine
22 June 2023,  Bei Mo, AntDB (sponsor) 

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