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DBMS > Apache Impala vs. EventStoreDB vs. ToroDB

System Properties Comparison Apache Impala vs. EventStoreDB vs. ToroDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonEventStoreDB  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAnalytic DBMS for HadoopIndustrial-strength, open-source database solution built from the ground up for event sourcing.A MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSEvent StoreDocument store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.06
Rank#39  Overall
#24  Relational DBMS
Score1.29
Rank#174  Overall
#1  Event Stores
Websiteimpala.apache.orgwww.eventstore.comgithub.com/­torodb/­server
Technical documentationimpala.apache.org/­impala-docs.htmldevelopers.eventstore.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaEvent Store Limited8Kdata
Initial release201320122016
Current release4.1.0, June 202221.2, February 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open SourceOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemsLinuxLinux
Windows
All OS with a Java 7 VM
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, boolean, date, object_id
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 indexesyes
SQL infoSupport of SQLSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduce
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
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.no
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users and roles

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More resources
Apache ImpalaEventStoreDBToroDB
Recent citations in the news

Apache Impala 4 Supports Operator Multi-Threading
29 July 2021, iProgrammer

Apache Impala becomes Top-Level Project
28 November 2017, SDTimes.com

Cloudera Bringing Impala to AWS Cloud
28 November 2017, Datanami

How different SQL-on-Hadoop engines satisfy BI workloads
24 February 2016, CIO

Apache Doris just 'graduated': Why care about this SQL data warehouse
24 June 2022, InfoWorld

provided by Google News



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