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DBMS > Apache Phoenix vs. atoti vs. EsgynDB vs. Firebolt

System Properties Comparison Apache Phoenix vs. atoti vs. EsgynDB vs. Firebolt

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonatoti  Xexclude from comparisonEsgynDB  Xexclude from comparisonFirebolt  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionHighly scalable cloud data warehouse and analytics product infoForked from Clickhouse
Primary database modelRelational DBMSObject oriented DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.61
Rank#243  Overall
#11  Object oriented DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score1.73
Rank#140  Overall
#63  Relational DBMS
Websitephoenix.apache.orgatoti.iowww.esgyn.cnwww.firebolt.io
Technical documentationphoenix.apache.orgdocs.atoti.iodocs.firebolt.io
DeveloperApache Software FoundationActiveViamEsgynFirebolt Analytics Inc.
Initial release201420152020
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree versions availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++, Java
Server operating systemsLinux
Unix
Windows
Linuxhosted
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLyesMultidimensional Expressions (MDX)yesyes
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
.Net
ODBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
All languages supporting JDBC/ODBC/ADO.NetGo
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsPythonJava Stored Proceduresno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication between multi datacentersdepending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
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.yesyesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyfine grained access rights according to SQL-standard

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More resources
Apache PhoenixatotiEsgynDBFirebolt
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