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

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

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonDatabend  Xexclude from comparisonDolt  Xexclude from comparisonInfinityDB  Xexclude from comparison
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 complexityA MySQL compatible DBMS with Git-like versioning of data and schemaA Java embedded Key-Value Store which extends the Java Map interface
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument 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
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score0.00
Rank#378  Overall
#57  Key-value stores
Websitephoenix.apache.orggithub.com/­datafuselabs/­databend
www.databend.com
github.com/­dolthub/­dolt
www.dolthub.com
boilerbay.com
Technical documentationphoenix.apache.orgdocs.databend.comdocs.dolthub.comboilerbay.com/­infinitydb/­manual
DeveloperApache Software FoundationDatabend LabsDoltHub IncBoiler Bay Inc.
Initial release2014202120182002
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.0.59, April 20234.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaRustGoJava
Server operating systemsLinux
Unix
Windows
hosted
Linux
macOS
Linux
macOS
Windows
All OS with a Java VM
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade
Typing infopredefined data types such as float or dateyesyesyesyes 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.nononono
Secondary indexesyesnoyesno infomanual creation possible, using inversions based on multi-value capability
SQL infoSupport of SQLyesyesyesno
APIs and other access methodsJDBCCLI Client
JDBC
RESTful HTTP API
CLI Client
HTTP REST
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
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
Server-side scripts infoStored proceduresuser defined functionsnoyes infocurrently in alpha releaseno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.none
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 ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integritynonoyesno 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 rolesOnly one user is configurable, and must be specified in the config file at startupno

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More resources
Apache PhoenixDatabendDoltInfinityDB
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