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DBMS > AllegroGraph vs. Google Cloud Datastore vs. QuestDB vs. TerminusDB

System Properties Comparison AllegroGraph vs. Google Cloud Datastore vs. QuestDB vs. TerminusDB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonQuestDB  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA high performance open source SQL database for time series dataScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document storeTime Series DBMSGraph DBMS
Secondary database modelsSpatial DBMSRelational DBMSDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.13
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websiteallegrograph.comcloud.google.com/­datastorequestdb.ioterminusdb.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlcloud.google.com/­datastore/­docsquestdb.io/­docsterminusdb.github.io/­terminusdb/­#
DeveloperFranz Inc.GoogleQuestDB Technology IncDataChemist Ltd.
Initial release2004200820142018
Current release8.0, December 202311.0.0, January 2023
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialOpen Source infoApache 2.0Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava (Zero-GC), C++, RustProlog, Rust
Server operating systemsLinux
OS X
Windows
hostedLinux
macOS
Windows
Linux
Data schemeyes infoRDF schemasschema-freeyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyesyes, details hereyesyes
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 possiblenonono
Secondary indexesyesyesno
SQL infoSupport of SQLSPARQL is used as query languageSQL-like query language (GQL)SQL with time-series extensionsSQL-like query language (WOQL)
APIs and other access methodsRESTful HTTP API
SPARQL
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
JavaScript
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispusing Google App Enginenoyes
TriggersyesCallbacks using the Google Apps Enginenoyes
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardinghorizontal partitioning (by timestamps)Graph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication using PaxosSource-replica replication with eventual consistencyJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID for single-table writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infothrough memory mapped files
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access control
More information provided by the system vendor
AllegroGraphGoogle Cloud DatastoreQuestDBTerminusDB infoformer name was DataChemist
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Relational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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