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DBMS > Pinecone vs. SingleStore vs. Trafodion vs. Yaacomo

System Properties Comparison Pinecone vs. SingleStore vs. Trafodion vs. Yaacomo

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Editorial information provided by DB-Engines
NamePinecone  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonTrafodion  Xexclude from comparisonYaacomo  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA managed, cloud-native vector databaseMySQL 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 typeTransactional SQL-on-Hadoop DBMSOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelVector DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score5.60
Rank#62  Overall
#35  Relational DBMS
Websitewww.pinecone.iowww.singlestore.comtrafodion.apache.orgyaacomo.com
Technical documentationdocs.pinecone.io/­docs/­overviewdocs.singlestore.comtrafodion.apache.org/­documentation.html
DeveloperPinecone Systems, IncSingleStore Inc.Apache Software Foundation, originally developed by HPQ2WEB GmbH
Initial release2019201320142009
Current release8.5, January 20242.3.0, February 2019
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
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 languageC++, GoC++, Java
Server operating systemshostedLinux info64 bit version requiredLinuxAndroid
Linux
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateString, Number, Booleanyesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLnoyes infobut no triggers and foreign keysyesyes
APIs and other access methodsRESTful HTTP APICluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
ADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languagesPythonBash
C
C#
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyesJava Stored Procedures
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infohash partitioningShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infostores two copies of each physical data partition on two separate nodesyes, via HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan define user-defined aggregate functions for map-reduce-style calculationsyes infovia user defined functions and HBaseno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlFine grained access control via users, groups and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
PineconeSingleStore infoformer name was MemSQLTrafodionYaacomo
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
PineconeSingleStore infoformer name was MemSQLTrafodionYaacomo
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Recent citations in the news

Pinecone launches serverless edition of its vector database on AWS
22 May 2024, SiliconANGLE News

Pinecone launches its serverless vector database out of preview
21 May 2024, TechCrunch

Pinecone Launches Serverless Vector Database for Scalable AI Applications
21 May 2024, Datanami

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21 May 2024, The Wall Street Journal

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SingleStore CEO sees little future for purpose-built vector databases
24 January 2024, VentureBeat

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24 January 2024, Business Wire

Building a Modern Database: Nikita Shamgunov on Postgres and Beyond
18 April 2024, Madrona Venture Group

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29 January 2024, Blocks & Files

SingleStore, Snowflake Help Customers Build Enterprise-Ready Generative AI Apps
3 January 2024, Acceleration Economy

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