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DBMS > AllegroGraph vs. Google Cloud Bigtable vs. Memcached vs. TypeDB

System Properties Comparison AllegroGraph vs. Google Cloud Bigtable vs. Memcached vs. TypeDB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMemcached  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.In-memory key-value store, originally intended for cachingTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Key-value store
Wide column store
Key-value storeGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score19.42
Rank#32  Overall
#4  Key-value stores
Score0.65
Rank#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Websiteallegrograph.comcloud.google.com/­bigtablewww.memcached.orgtypedb.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlcloud.google.com/­bigtable/­docsgithub.com/­memcached/­memcached/­wikitypedb.com/­docs
DeveloperFranz Inc.GoogleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalVaticle
Initial release2004201520032016
Current release8.0, December 20231.6.25, March 20242.26.3, January 2024
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialOpen Source infoBSD licenseOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava
Server operating systemsLinux
OS X
Windows
hostedFreeBSD
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeyes infoRDF schemasschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnonoyes
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 indexesyesnonoyes
SQL infoSupport of SQLSPARQL is used as query languagenonono
APIs and other access methodsRESTful HTTP API
SPARQL
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Proprietary protocolgRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnonono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingnoneSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Internal replication in Colossus, and regional replication between two clusters in different zonesnone infoRepcached, a Memcached patch, provides this functionallityMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynononono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
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)yes infousing SASL (Simple Authentication and Security Layer) protocolyes infoat REST API level; other APIs in progress
More information provided by the system vendor
AllegroGraphGoogle Cloud BigtableMemcachedTypeDB infoformerly named Grakn
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
TypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more
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