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DBMS > Apache Impala vs. BoltDB vs. Drizzle vs. Kinetica vs. mSQL

System Properties Comparison Apache Impala vs. BoltDB vs. Drizzle vs. Kinetica vs. mSQL

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBoltDB  Xexclude from comparisonDrizzle  Xexclude from comparisonKinetica  Xexclude from comparisonmSQL infoMini SQL  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 HadoopAn embedded key-value store for Go.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Fully vectorized database across both GPUs and CPUsmSQL (Mini SQL) is a simple and lightweight RDBMS
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.74
Rank#220  Overall
#31  Key-value stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Websiteimpala.apache.orggithub.com/­boltdb/­boltwww.kinetica.comhughestech.com.au/­products/­msql
Technical documentationimpala.apache.org/­impala-docs.htmldocs.kinetica.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaDrizzle project, originally started by Brian AkerKineticaHughes Technologies
Initial release20132013200820121994
Current release4.1.0, June 20227.2.4, September 20127.1, August 20214.4, October 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoMIT LicenseOpen Source infoGNU GPLcommercialcommercial infofree licenses can be provided
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoC++C, C++C
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
LinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nononono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infowith proprietary extensionsSQL-like DML and DDL statementsA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
APIs and other access methodsJDBC
ODBC
JDBCJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCGoC
C++
Java
PHP
C++
Java
JavaScript (Node.js)
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonouser defined functionsno
Triggersnonono infohooks for callbacks inside the server can be used.yes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneMulti-source replication
Source-replica replication
Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate Consistency or Eventual Consistency depending on configurationnone
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
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.nonoyes infoGPU vRAM or System RAMno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table levelno

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More resources
Apache ImpalaBoltDBDrizzleKineticamSQL infoMini SQL
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