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DBMS > AllegroGraph vs. Apache Drill vs. Google Cloud Bigtable vs. Rockset

System Properties Comparison AllegroGraph vs. Apache Drill vs. Google Cloud Bigtable vs. Rockset

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonApache Drill  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document store
Relational DBMS
Key-value store
Wide column store
Document store
Secondary database modelsSpatial DBMSRelational DBMS
Search engine
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
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.79
Rank#211  Overall
#35  Document stores
Websiteallegrograph.comdrill.apache.orgcloud.google.com/­bigtablerockset.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldrill.apache.org/­docscloud.google.com/­bigtable/­docsdocs.rockset.com
DeveloperFranz Inc.Apache Software FoundationGoogleRockset
Initial release2004201220152019
Current release8.0, December 20231.20.3, January 2023
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
hostedhosted
Data schemeyes infoRDF schemasschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnodynamic typing
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 infoingestion from XML files supported
Secondary indexesyesnonoall fields are automatically indexed
SQL infoSupport of SQLSPARQL is used as query languageSQL SELECT statement is SQL:2003 compliantnoRead-only SQL queries, including JOINs
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP REST
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C++C#
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functionsnono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingShardingAutomatic sharding
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 zonesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationnoneImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic single-row operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesDepending on the underlying data sourceyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noDepending on the underlying data sourceno
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationDepending on the underlying data sourceAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
AllegroGraphApache DrillGoogle Cloud BigtableRockset
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
News

Can Neuro-Symbolic AI Solve AI’s Weaknesses?
17 April 2024

100 Companies That Matter in KM – Franz Inc.
3 April 2024

Exploring AllegroGraph v8 – Unleashing the Power of Neuro-Symbolic AI (Recorded Webinar)
9 February 2024

What is Neuro-Symbolic AI?
23 January 2024

Allegro CL v11 – Now Available! – The Neuro-Symbolic AI Programming Platform
8 January 2024

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More resources
AllegroGraphApache DrillGoogle Cloud BigtableRockset
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Q&A: Can Neuro-Symbolic AI Solve AI’s Weaknesses?
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19 May 2015, Datanami

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Google's AI-First Strategy Brings Vector Support To Cloud Databases
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31 January 2022, InfoQ.com

Google scales up Cloud Bigtable NoSQL database
27 January 2022, TechTarget

Google introduces Cloud Bigtable managed NoSQL database to process data at scale
6 May 2015, VentureBeat

Google Launches Cloud Bigtable, A Highly Scalable And Performant NoSQL Database
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Rockset upgrades database to meet the needs of AI hybrid search – Blocks and Files
20 May 2024, Blocks & Files

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