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DBMS > EXASOL vs. Qdrant vs. SingleStore vs. Transwarp StellarDB

System Properties Comparison EXASOL vs. Qdrant vs. SingleStore vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonQdrant  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A high-performance vector database with neural network or semantic-based matchingMySQL 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 distributed graph DBMS built for enterprise-level graph applications
Primary database modelRelational DBMSVector DBMSRelational DBMSGraph 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
Score1.66
Rank#138  Overall
#64  Relational DBMS
Score1.53
Rank#145  Overall
#7  Vector DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Score0.00
Rank#385  Overall
#40  Graph DBMS
Websitewww.exasol.comgithub.com/­qdrant/­qdrant
qdrant.tech
www.singlestore.comwww.transwarp.cn/­en/­product/­stellardb
Technical documentationwww.exasol.com/­resourcesqdrant.tech/­documentationdocs.singlestore.com
DeveloperExasolQdrantSingleStore Inc.Transwarp
Initial release200020212013
Current release8.5, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC++, Go
Server operating systemsDocker
Linux
macOS
Windows
Linux info64 bit version required
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesNumbers, Strings, Geo, Booleanyes
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 infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLyesnoyes infobut no triggers and foreign keysSQL-like query language
APIs and other access methods.Net
JDBC
ODBC
WebSocket
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
OpenCypher
Supported programming languagesJava
Lua
Python
R
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsyes
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infohash partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesCollection-level replicationSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
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
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardKey-based authenticationFine grained access control via users, groups and rolesyes

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More resources
EXASOLQdrantSingleStore infoformer name was MemSQLTranswarp StellarDB
DB-Engines blog posts

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) 

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Recent citations in the news

Exasol gets jolt of AI with Espresso suite of capabilities
26 February 2024, TechTarget

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Open source vector database startup Qdrant raises $28M
23 January 2024, TechCrunch

Qdrant Announces an Industry-First Hybrid Cloud Offering For Enterprise AI Applications
16 April 2024, businesswire.com

Qdrant unveils hybrid vector algorithm for improved RAG
2 July 2024, Blocks & Files

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SingleStore Partners With Snowflake to Help Users Build Faster, More Efficient Real Time AI Applications
19 September 2024, Business Wire

Achieve near real-time analytics on Amazon DynamoDB with SingleStore
16 September 2024, AWS Blog

Third time was the charm for SingleStore in the cloud, CEO says
8 July 2024, The Register

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

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

provided by Google News



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