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DBMS > Apache Impala vs. EventStoreDB vs. Heroic vs. Ultipa

System Properties Comparison Apache Impala vs. EventStoreDB vs. Heroic vs. Ultipa

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonEventStoreDB  Xexclude from comparisonHeroic  Xexclude from comparisonUltipa  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopIndustrial-strength, open-source database solution built from the ground up for event sourcing.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelRelational DBMSEvent StoreTime Series DBMSGraph DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score1.19
Rank#173  Overall
#1  Event Stores
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.19
Rank#330  Overall
#30  Graph DBMS
Websiteimpala.apache.orgwww.eventstore.comgithub.com/­spotify/­heroicwww.ultipa.com
Technical documentationimpala.apache.org/­impala-docs.htmldevelopers.eventstore.comspotify.github.io/­heroicwww.ultipa.com/­document
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaEvent Store LimitedSpotifyUltipa
Initial release2013201220142019
Current release4.1.0, June 202221.2, February 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open SourceOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemsLinuxLinux
Windows
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes
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 indexesyesyes infovia Elasticsearch
SQL infoSupport of SQLSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCC++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno
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.nono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberos

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More resources
Apache ImpalaEventStoreDBHeroicUltipa
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