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DBMS > AllegroGraph vs. GeoMesa vs. Google Cloud Bigtable vs. Transwarp StellarDB

System Properties Comparison AllegroGraph vs. GeoMesa vs. Google Cloud Bigtable vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonGeoMesa  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A distributed graph DBMS built for enterprise-level graph applications
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Spatial DBMSKey-value store
Wide column store
Graph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#204  Overall
#35  Document stores
#18  Graph DBMS
#7  RDF stores
#10  Vector DBMS
Score0.78
Rank#214  Overall
#4  Spatial DBMS
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score0.00
Rank#385  Overall
#40  Graph DBMS
Websiteallegrograph.comwww.geomesa.orgcloud.google.com/­bigtablewww.transwarp.cn/­en/­product/­stellardb
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.geomesa.org/­documentation/­stable/­user/­index.htmlcloud.google.com/­bigtable/­docs
DeveloperFranz Inc.CCRi and othersGoogleTranswarp
Initial release200420142015
Current release8.0, December 20235.0.1, July 2024
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache License 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScala
Server operating systemsLinux
OS X
Windows
hosted
Data schemeyes infoRDF schemasyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.no infobulk load of XML files possiblenono
Secondary indexesyesyesno
SQL infoSupport of SQLSPARQL is used as query languagenonoSQL-like query language
APIs and other access methodsRESTful HTTP API
SPARQL
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
OpenCypher
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeswith Federationdepending on storage layerShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
depending on storage layerInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationdepending on storage layerImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic single-row operations
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.nodepending on storage layerno
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationyes infodepending on the DBMS used for storageAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes
More information provided by the system vendor
AllegroGraphGeoMesaGoogle Cloud BigtableTranswarp StellarDB
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Podcast – Gartner AI Hype Cycle – Knowledge Graphs and Neuro-Symbolic AI
24 August 2024

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More resources
AllegroGraphGeoMesaGoogle Cloud BigtableTranswarp StellarDB
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