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DBMS > Pinecone vs. SpaceTime vs. Splice Machine vs. STSdb

System Properties Comparison Pinecone vs. SpaceTime vs. Splice Machine vs. STSdb

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Editorial information provided by DB-Engines
NamePinecone  Xexclude from comparisonSpaceTime  Xexclude from comparisonSplice Machine  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionA managed, cloud-native vector databaseSpaceTime is a spatio-temporal DBMS with a focus on performance.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelVector DBMSSpatial DBMSRelational DBMSKey-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitewww.pinecone.iowww.mireo.com/­spacetimesplicemachine.comgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.pinecone.io/­docs/­overviewsplicemachine.com/­how-it-works
DeveloperPinecone Systems, IncMireoSplice MachineSTS Soft SC
Initial release2019202020142011
Current release3.1, March 20214.0.8, September 2015
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC#
Server operating systemshostedLinuxLinux
OS X
Solaris
Windows
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateString, Number, Booleanyesyesyes infoprimitive types and user defined types (classes)
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 indexesnoyesno
SQL infoSupport of SQLnoA subset of ANSI SQL is implementedyesno
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIJDBC
Native Spark Datasource
ODBC
.NET Client API
Supported programming languagesPythonC#
C++
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresnoyes infoJavano
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesFixed-grid hypercubesShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesReal-time block device replication (DRBD)Multi-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.nonoyes
User concepts infoAccess controlyesAccess rights for users, groups and roles according to SQL-standardno

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More resources
PineconeSpaceTimeSplice MachineSTSdb
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