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DBMS > Datomic vs. GBase vs. OpenTSDB vs. Solr vs. WakandaDB

System Properties Comparison Datomic vs. GBase vs. OpenTSDB vs. Solr vs. WakandaDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGBase  Xexclude from comparisonOpenTSDB  Xexclude from comparisonSolr  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Scalable Time Series DBMS based on HBaseA widely used distributed, scalable search engine based on Apache LuceneWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSRelational DBMSTime Series DBMSSearch engineObject oriented DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitewww.datomic.comwww.gbase.cnopentsdb.netsolr.apache.orgwakanda.github.io
Technical documentationdocs.datomic.comopentsdb.net/­docs/­build/­html/­index.htmlsolr.apache.org/­resources.htmlwakanda.github.io/­doc
DeveloperCognitectGeneral Data Technology Co., Ltd.currently maintained by Yahoo and other contributorsApache Software FoundationWakanda SAS
Initial release20122004201120062012
Current release1.0.7075, December 2023GBase 8a, GBase 8s, GBase 8c9.6.1, May 20242.7.0 (April 29, 2019), April 2019
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoLGPLOpen Source infoApache Version 2Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC, Java, PythonJavaJavaC++, JavaScript
Server operating systemsAll OS with a Java VMLinuxLinux
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Windows
Data schemeyesyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyesnumeric data for metrics, strings for tagsyes 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.noyesnoyesno
Secondary indexesyesyesnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoStandard with numerous extensionsnoSolr Parallel SQL Interfaceno
APIs and other access methodsRESTful HTTP APIADO.NET
C API
JDBC
ODBC
HTTP API
Telnet API
Java API
RESTful HTTP/JSON API
RESTful HTTP API
Supported programming languagesClojure
Java
C#Erlang
Go
Java
Python
R
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
JavaScript
Server-side scripts infoStored proceduresyes infoTransaction Functionsuser defined functionsnoJava pluginsyes
TriggersBy using transaction functionsyesnoyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peershorizontal partitioning (by range, list and hash) and vertical partitioningSharding infobased on HBaseShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyesselectable replication factor infobased on HBaseyesnone
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 ConsistencyImmediate Consistency infobased on HBaseEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnooptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnoyesno
User concepts infoAccess controlnoyesnoyesyes

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DatomicGBaseOpenTSDBSolrWakandaDB
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