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DBMS > Apache Impala vs. Axibase vs. Brytlyt vs. Drizzle vs. JaguarDB

System Properties Comparison Apache Impala vs. Axibase vs. Brytlyt vs. Drizzle vs. JaguarDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonAxibase  Xexclude from comparisonBrytlyt  Xexclude from comparisonDrizzle  Xexclude from comparisonJaguarDB  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 HadoopScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationScalable 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.Performant, highly scalable DBMS for AI and IoT applications
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMSKey-value store
Vector DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Websiteimpala.apache.orgaxibase.com/­docs/­atsd/­financebrytlyt.iowww.jaguardb.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.brytlyt.iowww.jaguardb.com/­support.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaAxibase CorporationBrytlytDrizzle project, originally started by Brian AkerDataJaguar, Inc.
Initial release20132013201620082015
Current release4.1.0, June 2022155855.0, August 20237.2.4, September 20123.3 July 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialOpen Source infoGNU GPLOpen Source infoGPL V3.0
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++ infothe server part. Clients available in other languages
Server operating systemsLinuxLinuxLinux
OS X
Windows
FreeBSD
Linux
OS X
Linux
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyes infoshort, integer, long, float, double, decimal, stringyesyesyes
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 infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageyesyes infowith proprietary extensionsA subset of ANSI SQL is implemented infobut no views, foreign keys, triggers
APIs and other access methodsJDBC
ODBC
JDBC
Proprietary protocol (Network API)
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBCJDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCGo
Java
PHP
Python
R
Ruby
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C++
Java
PHP
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesuser defined functions infoin PL/pgSQLnono
Triggersnoyesyesno infohooks for callbacks inside the server can be used.no
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDno
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 Kerberosfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPrights management via user accounts

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More resources
Apache ImpalaAxibaseBrytlytDrizzleJaguarDB
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