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DBMS > Apache Impala vs. Apache Pinot vs. Transwarp Hippo

System Properties Comparison Apache Impala vs. Apache Pinot vs. Transwarp Hippo

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonApache Pinot  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelRelational DBMSRelational DBMSVector 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
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score0.05
Rank#386  Overall
#16  Vector DBMS
Websiteimpala.apache.orgpinot.apache.orgwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationimpala.apache.org/­impala-docs.htmldocs.pinot.apache.org
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software Foundation and contributors
Initial release201320152023
Current release4.1.0, June 20221.0.0, September 20231.0, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++
Server operating systemsLinuxAll OS with a Java JDK11 or higherLinux
macOS
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyesVector, Numeric and String
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.nono
Secondary indexesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageno
APIs and other access methodsJDBC
ODBC
JDBCRESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCGo
Java
Python
C++
Java
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding
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 MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
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.noyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosRole based access control and fine grained access rights

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More resources
Apache ImpalaApache PinotTranswarp Hippo
Recent citations in the news

Apache Impala becomes Top-Level Project
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8 May 2024, VentureBeat

provided by Google News



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