DB-EnginesExtremeDB for everyone with an RTOSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > mSQL vs. Pinecone vs. STSdb vs. XTDB

System Properties Comparison mSQL vs. Pinecone vs. STSdb vs. XTDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NamemSQL infoMini SQL  Xexclude from comparisonPinecone  Xexclude from comparisonSTSdb  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionmSQL (Mini SQL) is a simple and lightweight RDBMSA managed, cloud-native vector databaseKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSVector DBMSKey-value storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score3.23
Rank#92  Overall
#2  Vector DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Score0.18
Rank#332  Overall
#46  Document stores
Websitehughestech.com.au/­products/­msqlwww.pinecone.iogithub.com/­STSSoft/­STSdb4github.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.pinecone.io/­docs/­overviewwww.xtdb.com/­docs
DeveloperHughes TechnologiesPinecone Systems, IncSTS Soft SCJuxt Ltd.
Initial release1994201920112019
Current release4.4, October 20214.0.8, September 20151.19, September 2021
License infoCommercial or Open Sourcecommercial infofree licenses can be providedcommercialOpen Source infoGPLv2, commercial license availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC#Clojure
Server operating systemsAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
hostedWindowsAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesString, Number, Booleanyes infoprimitive types and user defined types (classes)yes, 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.nonono
Secondary indexesyesnoyes
SQL infoSupport of SQLA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnonolimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
RESTful HTTP API.NET Client APIHTTP REST
JDBC
Supported programming languagesC
C++
Delphi
Java
Perl
PHP
Tcl
PythonC#
Java
Clojure
Java
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnone
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datanoyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, 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.nono
User concepts infoAccess controlnono

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
mSQL infoMini SQLPineconeSTSdbXTDB infoformerly named Crux
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

show all

Recent citations in the news

A Brief History of PHP - Programming PHP, 3rd Edition [Book]
22 September 2018, oreilly.com

Higher Education PS rules out ghost students before PAC
29 November 2018, diggers.news

provided by Google News

AWS Marketplace: Pinecone Vector Database - Annual Commit Comments
4 June 2024, AWS Blog

Pinecone Names Lauren Nemeth COO and Bob Muglia as Board Member - High-Performance Computing News Analysis
3 June 2024, insideHPC

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’s new serverless database may see few takers, analysts say
17 January 2024, InfoWorld

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here