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DBMS > Apache Phoenix vs. Drizzle vs. Hypertable vs. InfinityDB

System Properties Comparison Apache Phoenix vs. Drizzle vs. Hypertable vs. InfinityDB

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonDrizzle  Xexclude from comparisonHypertable  Xexclude from comparisonInfinityDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.An open source BigTable implementation based on distributed file systems such as HadoopA Java embedded Key-Value Store which extends the Java Map interface
Primary database modelRelational DBMSRelational DBMSWide column storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.00
Rank#378  Overall
#57  Key-value stores
Websitephoenix.apache.orgboilerbay.com
Technical documentationphoenix.apache.orgboilerbay.com/­infinitydb/­manual
DeveloperApache Software FoundationDrizzle project, originally started by Brian AkerHypertable Inc.Boiler Bay Inc.
Initial release2014200820092002
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20197.2.4, September 20120.9.8.11, March 20164.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU GPLOpen Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++Java
Server operating systemsLinux
Unix
Windows
FreeBSD
Linux
OS X
Linux
OS X
Windows infoan inofficial Windows port is available
All OS with a Java VM
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade
Typing infopredefined data types such as float or dateyesyesnoyes 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.nono
Secondary indexesyesyesrestricted infoonly exact value or prefix value scansno infomanual creation possible, using inversions based on multi-value capability
SQL infoSupport of SQLyesyes infowith proprietary extensionsnono
APIs and other access methodsJDBCJDBCC++ API
Thrift
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
C
C++
Java
PHP
C++
Java
Perl
PHP
Python
Ruby
Java
Server-side scripts infoStored proceduresuser defined functionsnonono
Triggersnono infohooks for callbacks inside the server can be used.nono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
selectable replication factor on file system levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integritynoyesnono infomanual creation possible, using inversions based on multi-value capability
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID 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-tenancyPluggable authentication mechanisms infoe.g. LDAP, HTTPnono

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More resources
Apache PhoenixDrizzleHypertableInfinityDB
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