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DBMS > Apache Phoenix vs. Databend vs. FoundationDB vs. InfinityDB

System Properties Comparison Apache Phoenix vs. Databend vs. FoundationDB vs. InfinityDB

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonDatabend  Xexclude from comparisonFoundationDB  Xexclude from comparisonInfinityDB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityOrdered key-value store. Core features are complimented by layers.A Java embedded Key-Value Store which extends the Java Map interface
Primary database modelRelational DBMSRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score0.00
Rank#378  Overall
#57  Key-value stores
Websitephoenix.apache.orggithub.com/­datafuselabs/­databend
www.databend.com
github.com/­apple/­foundationdbboilerbay.com
Technical documentationphoenix.apache.orgdocs.databend.comapple.github.io/­foundationdbboilerbay.com/­infinitydb/­manual
DeveloperApache Software FoundationDatabend LabsFoundationDBBoiler Bay Inc.
Initial release2014202120132002
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.0.59, April 20236.2.28, November 20204.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open 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 languageJavaRustC++Java
Server operating systemsLinux
Unix
Windows
hosted
Linux
macOS
Linux
OS X
Windows
All OS with a Java VM
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-free infosome layers support schemasyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade
Typing infopredefined data types such as float or dateyesyesno infosome layers support typingyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arrays
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.nonono
Secondary indexesyesnonono infomanual creation possible, using inversions based on multi-value capability
SQL infoSupport of SQLyesyessupported in specific SQL layer onlyno
APIs and other access methodsJDBCCLI Client
JDBC
RESTful HTTP API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Java
Server-side scripts infoStored proceduresuser defined functionsnoin SQL-layer onlyno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyLinearizable consistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integritynonoin SQL-layer onlyno infomanual creation possible, using inversions based on multi-value capability
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACID infoOptimistic locking for transactions; no isolation for bulk loads
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyUsers with fine-grained authorization concept, user rolesnono

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More resources
Apache PhoenixDatabendFoundationDBInfinityDB
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