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DBMS > Datastax Enterprise vs. Solr vs. SurrealDB vs. TerarkDB

System Properties Comparison Datastax Enterprise vs. Solr vs. SurrealDB vs. TerarkDB

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonSolr  Xexclude from comparisonSurrealDB  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.A widely used distributed, scalable search engine based on Apache LuceneA fully ACID transactional, developer-friendly, multi-model DBMSA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelWide column storeSearch engineDocument store
Graph DBMS
Key-value store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.93
Rank#56  Overall
#4  Wide column stores
Score41.02
Rank#24  Overall
#3  Search engines
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitewww.datastax.com/­products/­datastax-enterprisesolr.apache.orgsurrealdb.comgithub.com/­bytedance/­terarkdb
Technical documentationdocs.datastax.comsolr.apache.org/­resources.htmlsurrealdb.com/­docsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperDataStaxApache Software FoundationSurrealDB LtdByteDance, originally Terark
Initial release2011200620222016
Current release6.8, April 20209.6.1, May 2024v1.5.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Sourcecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaRustC++
Server operating systemsLinux
OS X
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
macOS
Windows
Data schemeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infosupports customizable data types and automatic typingyesno
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.noyesno
Secondary indexesyesyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLSolr Parallel SQL InterfaceSQL-like query languageno
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Java API
RESTful HTTP/JSON API
GraphQL
RESTful HTTP API
WebSocket
C++ API
Java API
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Deno
Go
JavaScript (Node.js)
Rust
C++
Java
Server-side scripts infoStored proceduresnoJava pluginsno
Triggersyesyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsoptimistic lockingACIDno
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 controlAccess rights for users can be defined per objectyesyes, based on authentication and database rulesno
More information provided by the system vendor
Datastax EnterpriseSolrSurrealDBTerarkDB
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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Datastax EnterpriseSolrSurrealDBTerarkDB
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