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DBMS > Coveo vs. HEAVY.AI vs. Solr vs. Warp 10

System Properties Comparison Coveo vs. HEAVY.AI vs. Solr vs. Warp 10

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonSolr  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA widely used distributed, scalable search engine based on Apache LuceneTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelSearch engineRelational DBMSSearch engineTime Series DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.11
Rank#118  Overall
#11  Search engines
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitewww.coveo.comgithub.com/­heavyai/­heavydb
www.heavy.ai
solr.apache.orgwww.warp10.io
Technical documentationdocs.coveo.comdocs.heavy.aisolr.apache.org/­resources.htmlwww.warp10.io/­content/­02_Getting_started
DeveloperCoveoHEAVY.AI, Inc.Apache Software FoundationSenX
Initial release2012201620062015
Current release5.10, January 20229.6.1, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache Version 2Open Source infoApache License 2.0
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.
Implementation languageC++ and CUDAJavaJava
Server operating systemshostedLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Windows
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateyesyesyes infosupports customizable data types and automatic typingyes
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.nonoyesno
Secondary indexesyesnoyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLnoyesSolr Parallel SQL Interfaceno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Thrift
Vega
Java API
RESTful HTTP/JSON API
HTTP API
Jupyter
WebSocket
Supported programming languagesC#
Java
JavaScript
Python
All languages supporting JDBC/ODBC/Thrift
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoJava pluginsyes infoWarpScript
Triggersyesnoyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesyesSharding infoRound robinShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationyesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnooptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlgranular access controls, API key management, content filtersfine grained access rights according to SQL-standardyesMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
CoveoHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022SolrWarp 10
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