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DBMS > Apache Impala vs. BoltDB vs. EXASOL vs. Quasardb

System Properties Comparison Apache Impala vs. BoltDB vs. EXASOL vs. Quasardb

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBoltDB  Xexclude from comparisonEXASOL  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn embedded key-value store for Go.High-performance, in-memory, MPP database specifically designed for in-memory analytics.Distributed, high-performance timeseries database
Primary database modelRelational DBMSKey-value storeRelational DBMSTime Series 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
Score0.74
Rank#220  Overall
#31  Key-value stores
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websiteimpala.apache.orggithub.com/­boltdb/­boltwww.exasol.comquasar.ai
Technical documentationimpala.apache.org/­impala-docs.htmlwww.exasol.com/­resourcesdoc.quasar.ai/­master
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaExasolquasardb
Initial release2013201320002009
Current release4.1.0, June 20223.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoMIT Licensecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoC++
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
BSD
Linux
OS X
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyes infointeger and binary
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 indexesyesnoyesyes infowith tags
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesSQL-like query language
APIs and other access methodsJDBC
ODBC
.Net
JDBC
ODBC
WebSocket
HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCGoJava
Lua
Python
R
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenouser defined functionsno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyes infoHadoop integrationwith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes infoTransient mode
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoAccess rights for users, groups and roles according to SQL-standardCryptographically strong user authentication and audit trail

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More resources
Apache ImpalaBoltDBEXASOLQuasardb
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