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DBMS > Graph Engine vs. Hypertable vs. Solr vs. XTDB

System Properties Comparison Graph Engine vs. Hypertable vs. Solr vs. XTDB

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonHypertable  Xexclude from comparisonSolr  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineAn open source BigTable implementation based on distributed file systems such as HadoopA widely used distributed, scalable search engine based on Apache LuceneA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelGraph DBMS
Key-value store
Wide column storeSearch engineDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score41.02
Rank#24  Overall
#3  Search engines
Score0.18
Rank#332  Overall
#46  Document stores
Websitewww.graphengine.iosolr.apache.orggithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationwww.graphengine.io/­docs/­manualsolr.apache.org/­resources.htmlwww.xtdb.com/­docs
DeveloperMicrosoftHypertable Inc.Apache Software FoundationJuxt Ltd.
Initial release2010200920062019
Current release0.9.8.11, March 20169.6.1, May 20241.19, September 2021
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache Version 2Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CC++JavaClojure
Server operating systems.NETLinux
OS X
Windows infoan inofficial Windows port is available
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)All OS with a Java 8 (and higher) VM
Linux
Data schemeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateyesnoyes infosupports customizable data types and automatic typingyes, extensible-data-notation format
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 indexesrestricted infoonly exact value or prefix value scansyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnonoSolr Parallel SQL Interfacelimited SQL, making use of Apache Calcite
APIs and other access methodsRESTful HTTP APIC++ API
Thrift
Java API
RESTful HTTP/JSON API
HTTP REST
JDBC
Supported programming languagesC#
C++
F#
Visual Basic
C++
Java
Perl
PHP
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Clojure
Java
Server-side scripts infoStored proceduresyesnoJava pluginsno
Triggersnonoyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelyesyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonooptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnoyes

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More resources
Graph Engine infoformer name: TrinityHypertableSolrXTDB infoformerly named Crux
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