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DBMS > Drizzle vs. HEAVY.AI vs. Solr vs. TerminusDB vs. WakandaDB

System Properties Comparison Drizzle vs. HEAVY.AI vs. Solr vs. TerminusDB vs. WakandaDB

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonSolr  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonWakandaDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A 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 LuceneScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSRelational DBMSSearch engineGraph DBMSObject oriented DBMS
Secondary database modelsSpatial DBMSSpatial DBMSDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score0.17
Rank#325  Overall
#29  Graph DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
solr.apache.orgterminusdb.comwakanda.github.io
Technical documentationdocs.heavy.aisolr.apache.org/­resources.htmlterminusdb.github.io/­terminusdb/­#wakanda.github.io/­doc
DeveloperDrizzle project, originally started by Brian AkerHEAVY.AI, Inc.Apache Software FoundationDataChemist Ltd.Wakanda SAS
Initial release20082016200620182012
Current release7.2.4, September 20125.10, January 20229.6.0, April 202411.0.0, January 20232.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache Version 2Open Source infoGPL V3Open Source infoAGPLv3, extended commercial license available
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++ and CUDAJavaProlog, RustC++, JavaScript
Server operating systemsFreeBSD
Linux
OS X
LinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)LinuxLinux
OS X
Windows
Data schemeyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyesyes
Typing infopredefined data types such as float or dateyesyesyes infosupports customizable data types and automatic typingyesyes
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.noyesnono
Secondary indexesyesnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyes infowith proprietary extensionsyesSolr Parallel SQL InterfaceSQL-like query language (WOQL)no
APIs and other access methodsJDBCJDBC
ODBC
Thrift
Vega
Java API
RESTful HTTP/JSON API
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
RESTful HTTP API
Supported programming languagesC
C++
Java
PHP
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
JavaScript
Python
JavaScript
Server-side scripts infoStored proceduresnonoJava pluginsyesyes
Triggersno infohooks for callbacks inside the server can be used.noyes infoUser configurable commands triggered on index changesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinShardingGraph Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationyesJournaling Streamsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnooptimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardyesRole-based access controlyes

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More resources
DrizzleHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022SolrTerminusDB infoformer name was DataChemistWakandaDB
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