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DBMS > Apache Impala vs. Apache Pinot vs. Brytlyt vs. Datomic

System Properties Comparison Apache Impala vs. Apache Pinot vs. Brytlyt vs. Datomic

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonApache Pinot  Xexclude from comparisonBrytlyt  Xexclude from comparisonDatomic  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durability
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score0.35
Rank#274  Overall
#128  Relational DBMS
Score0.27
Rank#292  Overall
#132  Relational DBMS
Score1.55
Rank#144  Overall
#67  Relational DBMS
Websiteimpala.apache.orgpinot.apache.orgbrytlyt.iowww.datomic.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.pinot.apache.orgdocs.brytlyt.iodocs.datomic.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software Foundation and contributorsBrytlytCognitect
Initial release2013201520162012
Current release4.1.0, June 20221.0.0, September 20235.0, August 20231.0.7180, July 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0commercialcommercial infolimited edition free
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC, C++ and CUDAJava, Clojure
Server operating systemsLinuxAll OS with a Java JDK11 or higherLinux
OS X
Windows
All OS with a Java VM
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.noyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageyesno
APIs and other access methodsJDBC
ODBC
JDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCGo
Java
Python
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Clojure
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functions infoin PL/pgSQLyes infoTransaction Functions
TriggersnoyesBy using transaction functions
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnone infoBut extensive use of caching in the application peers
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationnone infoBut extensive use of caching in the application peers
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)
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 development
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardno

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More resources
Apache ImpalaApache PinotBrytlytDatomic
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