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

DBMS > EXASOL vs. Kinetica vs. Lovefield vs. PouchDB vs. Transwarp Hippo

System Properties Comparison EXASOL vs. Kinetica vs. Lovefield vs. PouchDB vs. Transwarp Hippo

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonKinetica  Xexclude from comparisonLovefield  Xexclude from comparisonPouchDB  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Fully vectorized database across both GPUs and CPUsEmbeddable relational database for web apps written in pure JavaScriptJavaScript DBMS with an API inspired by CouchDBCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument storeVector DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score0.05
Rank#386  Overall
#14  Vector DBMS
Websitewww.exasol.comwww.kinetica.comgoogle.github.io/­lovefieldpouchdb.comwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationwww.exasol.com/­resourcesdocs.kinetica.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdpouchdb.com/­guides
DeveloperExasolKineticaGoogleApache Software Foundation
Initial release20002012201420122023
Current release7.1, August 20212.1.12, February 20177.1.1, June 20191.0, May 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++JavaScriptJavaScriptC++
Server operating systemsLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safariserver-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesnoVector, Numeric and String
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.nonononono
Secondary indexesyesyesyesyes infovia viewsno
SQL infoSupport of SQLyesSQL-like DML and DDL statementsSQL-like query language infovia JavaScript builder patternnono
APIs and other access methods.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
RESTful HTTP API
Supported programming languagesJava
Lua
Python
R
C++
Java
JavaScript (Node.js)
Python
JavaScriptJavaScriptC++
Java
Python
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsnoView functions in JavaScriptno
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeUsing read-only observersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMyes infousing MemoryDByesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess rights for users and roles on table levelnonoRole based access control and fine grained access rights

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
EXASOLKineticaLovefieldPouchDBTranswarp Hippo
DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

show all

Recent citations in the news

It's Back to the Database Future for Exasol CEO Tewes
26 October 2023, Datanami

Exasol Finds AI Underinvestment Leads to Business Failure, But Data Challenges Stall Rapid Adoption
14 May 2024, insideBIGDATA

Mathias Golombek, Chief Technology Officer of Exasol – Interview Series
21 May 2024, Unite.AI

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

Exasol Unveils New Suite of AI Tools to Turbocharge Enterprise Data Analytics
22 February 2024, AiThority

provided by Google News

Kinetica Delivers Real-Time Vector Similarity Search
21 March 2024, insideBIGDATA

Kinetica Launches Generative AI Solution for Real-Time Inferencing Powered by NVIDIA AI Enterprise
18 March 2024, GlobeNewswire

Kinetica ramps up RAG for generative AI, empowering enterprises with real-time operational data
18 March 2024, SiliconANGLE News

Transforming spatiotemporal data analysis with GPUs and generative AI
30 October 2023, InfoWorld

Kinetica Delivers Real-Time Vector Similarity Search
22 March 2024, Geospatial World

provided by Google News

Building an Offline First App with PouchDB — SitePoint
10 March 2014, SitePoint

Create Offline Web Apps Using Service Workers & PouchDB — SitePoint
7 March 2017, SitePoint

3 Reasons To Think Offline First
22 March 2017, ibm.com

Getting Started with PouchDB Client-Side JavaScript Database — SitePoint
7 September 2016, SitePoint

Offline-first web and mobile apps: Top frameworks and components
22 January 2019, TechBeacon

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

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

Neo4j logo

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

Present your product here