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DBMS > Apache Phoenix vs. Newts vs. SingleStore vs. SpaceTime

System Properties Comparison Apache Phoenix vs. Newts vs. SingleStore vs. SpaceTime

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonNewts  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSpaceTime  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseTime Series DBMS based on CassandraMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelRelational DBMSTime Series DBMSRelational DBMSSpatial DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score5.60
Rank#62  Overall
#35  Relational DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Websitephoenix.apache.orgopennms.github.io/­newtswww.singlestore.comwww.mireo.com/­spacetime
Technical documentationphoenix.apache.orggithub.com/­OpenNMS/­newts/­wikidocs.singlestore.com
DeveloperApache Software FoundationOpenNMS GroupSingleStore Inc.Mireo
Initial release2014201420132020
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20198.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageJavaJavaC++, GoC++
Server operating systemsLinux
Unix
Windows
Linux
OS X
Windows
Linux info64 bit version requiredLinux
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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
SQL infoSupport of SQLyesnoyes infobut no triggers and foreign keysA subset of ANSI SQL is implemented
APIs and other access methodsJDBCHTTP REST
Java API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
JavaBash
C
C#
Java
JavaScript (Node.js)
Python
C#
C++
Python
Server-side scripts infoStored proceduresuser defined functionsnoyesno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding infohash partitioningFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infobased on CassandraSource-replica replication infostores two copies of each physical data partition on two separate nodesReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnono infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynoFine grained access control via users, groups and rolesyes
More information provided by the system vendor
Apache PhoenixNewtsSingleStore infoformer name was MemSQLSpaceTime
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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More resources
Apache PhoenixNewtsSingleStore infoformer name was MemSQLSpaceTime
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