DB-EnginesextremeDB - Data management wherever you need itEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Pinecone vs. SingleStore vs. Transbase

System Properties Comparison Pinecone vs. SingleStore vs. Transbase

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NamePinecone  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonTransbase  Xexclude from comparison
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 typeA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelVector 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
Score3.57
Rank#74  Overall
#6  Vector DBMS
Score3.69
Rank#70  Overall
#37  Relational DBMS
Score0.01
Rank#378  Overall
#155  Relational DBMS
Websitewww.pinecone.iowww.singlestore.comwww.transaction.de/­en/­products/­transbase.html
Technical documentationdocs.pinecone.io/­docs/­overviewdocs.singlestore.comwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperPinecone Systems, IncSingleStore Inc.Transaction Software GmbH
Initial release201920131987
Current release8.5, January 2024Transbase 8.3, 2022
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availablecommercial infofree development license
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, GoC and C++
Server operating systemshostedLinux info64 bit version requiredFreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateString, Number, Booleanyesyes
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 indexesyesyes
SQL infoSupport of SQLnoyes infobut no triggers and foreign keysyes
APIs and other access methodsRESTful HTTP APICluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesPythonBash
C
C#
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyesyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infostores two copies of each physical data partition on two separate nodesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
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.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlFine grained access control via users, groups and rolesfine grained access rights according to SQL-standard

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
PineconeSingleStore infoformer name was MemSQLTransbase
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

show all

Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
17 October 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

show all

Recent citations in the news

Pinecone turns unstructured data into knowledgeable AI for developers with Microsoft Azure
4 February 2025, Microsoft

Pinecone expands vector database with cascading retrieval, boosting enterprise AI accuracy by up to 48%
2 December 2024, VentureBeat

Pinecone integrates AI inferencing with vector database
2 December 2024, Blocks and Files

Pinecone Named to Fast Company's Annual List of the World's Most Innovative Companies of 2025
18 March 2025, PR Newswire

Pinecone Revamps Vector Database Architecture for AI Apps
27 February 2025, The New Stack

provided by Google News

SingleStore Appoints Nadeem Asghar as Chief Technology Officer
17 April 2025, citybiz

SingleStore Acquires BryteFlow ​​to Accelerate Adoption of Real-Time Analytics, GenAI
3 October 2024, Business Wire

Announcing watsonx.ai and SingleStore for generative AI applications
16 October 2024, IBM

SingleStore acquires BryteFlow to better digest ERP and CRM data
4 October 2024, Blocks and Files

SingleStore's BryteFlow acquisition targets data integration
3 October 2024, TechTarget

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

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB 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

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Present your product here