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DBMS > Apache Phoenix vs. atoti vs. FatDB vs. SurrealDB

System Properties Comparison Apache Phoenix vs. atoti vs. FatDB vs. SurrealDB

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonatoti  Xexclude from comparisonFatDB  Xexclude from comparisonSurrealDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
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.A .NET NoSQL DBMS that can integrate with and extend SQL Server.A fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSObject oriented DBMSDocument store
Key-value store
Document store
Graph 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
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websitephoenix.apache.orgatoti.iosurrealdb.com
Technical documentationphoenix.apache.orgdocs.atoti.iosurrealdb.com/­docs
DeveloperApache Software FoundationActiveViamFatCloudSurrealDB Ltd
Initial release201420122022
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree versions availablecommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC#Rust
Server operating systemsLinux
Unix
Windows
WindowsLinux
macOS
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-free
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.no
Secondary indexesyesyes
SQL infoSupport of SQLyesMultidimensional Expressions (MDX)no infoVia inetgration in SQL ServerSQL-like query language
APIs and other access methodsJDBC.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C#Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresuser defined functionsPythonyes infovia applications
Triggersnoyes infovia applications
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
selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyno infoCan implement custom security layer via applicationsyes, based on authentication and database rules

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More resources
Apache PhoenixatotiFatDBSurrealDB
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Recent citations in the news

Supercharge SQL on Your Data in Apache HBase with Apache Phoenix | Amazon Web Services
2 June 2016, AWS Blog

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16 August 2018, Microsoft

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27 March 2017, SDTimes.com

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