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DBMS > Apache Impala vs. Apache Jena - TDB vs. Brytlyt vs. Drizzle vs. TimescaleDB

System Properties Comparison Apache Impala vs. Apache Jena - TDB vs. Brytlyt vs. Drizzle vs. TimescaleDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonBrytlyt  Xexclude from comparisonDrizzle  Xexclude from comparisonTimescaleDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSRDF storeRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score3.85
Rank#86  Overall
#3  RDF stores
Score0.38
Rank#279  Overall
#126  Relational DBMS
Score4.87
Rank#74  Overall
#4  Time Series DBMS
Websiteimpala.apache.orgjena.apache.org/­documentation/­tdb/­index.htmlbrytlyt.iowww.timescale.com
Technical documentationimpala.apache.org/­impala-docs.htmljena.apache.org/­documentation/­tdb/­index.htmldocs.brytlyt.iodocs.timescale.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software Foundation infooriginally developed by HP LabsBrytlytDrizzle project, originally started by Brian AkerTimescale
Initial release20132000201620082017
Current release4.1.0, June 20224.9.0, July 20235.0, August 20237.2.4, September 20122.13.0, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache License, Version 2.0commercialOpen Source infoGNU GPLOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC, C++ and CUDAC++C
Server operating systemsLinuxAll OS with a Java VMLinux
OS X
Windows
FreeBSD
Linux
OS X
Linux
OS X
Windows
Data schemeyesyes infoRDF Schemasyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.yes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesyes infowith proprietary extensionsyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
ODBC
Fuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesAll languages supporting JDBC/ODBCJava.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C++
Java
PHP
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesuser defined functions infoin PL/pgSQLnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyes infovia event handleryesno infohooks for callbacks inside the server can be used.yes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneSource-replica replicationMulti-source replication
Source-replica replication
Source-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoTDB TransactionsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess control via Jena Securityfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standard

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More resources
Apache ImpalaApache Jena - TDBBrytlytDrizzleTimescaleDB
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