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DBMS > Pinecone vs. Prometheus vs. SingleStore vs. XTDB

System Properties Comparison Pinecone vs. Prometheus vs. SingleStore vs. XTDB

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Editorial information provided by DB-Engines
NamePinecone  Xexclude from comparisonPrometheus  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionA managed, cloud-native vector databaseOpen-source Time Series DBMS and monitoring systemMySQL 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 typeA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelVector DBMSTime Series DBMSRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.23
Rank#92  Overall
#2  Vector DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score5.38
Rank#62  Overall
#35  Relational DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitewww.pinecone.ioprometheus.iowww.singlestore.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.pinecone.io/­docs/­overviewprometheus.io/­docsdocs.singlestore.comwww.xtdb.com/­docs
DeveloperPinecone Systems, IncSingleStore Inc.Juxt Ltd.
Initial release2019201520132019
Current release8.5, January 20241.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infofree developer edition availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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 languageGoC++, GoClojure
Server operating systemshostedLinux
Windows
Linux info64 bit version requiredAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateString, Number, BooleanNumeric data onlyyesyes, extensible-data-notation format
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 infoImport of XML data possiblenono
Secondary indexesnoyesyes
SQL infoSupport of SQLnonoyes infobut no triggers and foreign keyslimited SQL, making use of Apache Calcite
APIs and other access methodsRESTful HTTP APIRESTful HTTP/JSON APICluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
HTTP REST
JDBC
Supported programming languagesPython.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Bash
C
C#
Java
JavaScript (Node.js)
Python
Clojure
Java
Server-side scripts infoStored proceduresnoyesno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infohash partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby FederationSource-replica replication infostores two copies of each physical data partition on two separate nodesyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
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, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnoFine grained access control via users, groups and roles
More information provided by the system vendor
PineconePrometheusSingleStore infoformer name was MemSQLXTDB infoformerly named Crux
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
PineconePrometheusSingleStore infoformer name was MemSQLXTDB infoformerly named Crux
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