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DBMS > Apache Impala vs. BoltDB vs. EventStoreDB

System Properties Comparison Apache Impala vs. BoltDB vs. EventStoreDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBoltDB  Xexclude from comparisonEventStoreDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn embedded key-value store for Go.Industrial-strength, open-source database solution built from the ground up for event sourcing.
Primary database modelRelational DBMSKey-value storeEvent Store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score0.76
Rank#224  Overall
#32  Key-value stores
Score1.14
Rank#181  Overall
#1  Event Stores
Websiteimpala.apache.orggithub.com/­boltdb/­boltwww.eventstore.com
Technical documentationimpala.apache.org/­impala-docs.htmldevelopers.eventstore.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaEvent Store Limited
Initial release201320132012
Current release4.1.0, June 202221.2, February 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoMIT LicenseOpen Source
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Go
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
Linux
Windows
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesno
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.nono
Secondary indexesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCGo
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistencynone
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
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 Kerberosno

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More resources
Apache ImpalaBoltDBEventStoreDB
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