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DBMS > Databend vs. Geode vs. Solr vs. STSdb

System Properties Comparison Databend vs. Geode vs. Solr vs. STSdb

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonGeode  Xexclude from comparisonSolr  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA widely used distributed, scalable search engine based on Apache LuceneKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSKey-value storeSearch engineKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score41.02
Rank#24  Overall
#3  Search engines
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitegithub.com/­datafuselabs/­databend
www.databend.com
geode.apache.orgsolr.apache.orggithub.com/­STSSoft/­STSdb4
Technical documentationdocs.databend.comgeode.apache.org/­docssolr.apache.org/­resources.html
DeveloperDatabend LabsOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Apache Software FoundationSTS Soft SC
Initial release2021200220062011
Current release1.0.59, April 20231.1, February 20179.6.1, May 20244.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache Version 2Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustJavaJavaC#
Server operating systemshosted
Linux
macOS
All OS with a Java VM infothe JDK (8 or later) is also requiredAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Windows
Data schemeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyesyes infosupports customizable data types and automatic typingyes infoprimitive types and user defined types (classes)
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.nonoyes
Secondary indexesnonoyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLyesSQL-like query language (OQL)Solr Parallel SQL Interfaceno
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
Java Client API
Memcached protocol
RESTful HTTP API
Java API
RESTful HTTP/JSON API
.NET Client API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C#
Java
Server-side scripts infoStored proceduresnouser defined functionsJava pluginsno
Triggersnoyes infoCache Event Listenersyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationyesnone
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 ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyes, on a single nodeoptimistic 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.yesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesAccess rights per client and object definableyesno

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More resources
DatabendGeodeSolrSTSdb
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