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DBMS > AgensGraph vs. Apache Drill vs. Google Cloud Datastore vs. Graph Engine

System Properties Comparison AgensGraph vs. Apache Drill vs. Google Cloud Datastore vs. Graph Engine

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonApache Drill  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine
Primary database modelGraph DBMS
Relational DBMS
Document store
Relational DBMS
Document storeGraph DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#333  Overall
#30  Graph DBMS
#146  Relational DBMS
Score2.28
Rank#119  Overall
#23  Document stores
#56  Relational DBMS
Score4.49
Rank#79  Overall
#12  Document stores
Score0.62
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Websitebitnine.net/­agensgraphdrill.apache.orgcloud.google.com/­datastorewww.graphengine.io
Technical documentationbitnine.net/­documentationdrill.apache.org/­docscloud.google.com/­datastore/­docswww.graphengine.io/­docs/­manual
DeveloperBitnine Global Inc.Apache Software FoundationGoogleMicrosoft
Initial release2016201220082010
Current release2.1, December 20181.20.3, January 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2commercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC.NET and C
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
hosted.NET
Data schemedepending on used data modelschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes, details hereyes
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.nononono
Secondary indexesyesnoyes
SQL infoSupport of SQLyesSQL SELECT statement is SQL:2003 compliantSQL-like query language (GQL)no
APIs and other access methodsCypher Query Language
JDBC
JDBC
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
RESTful HTTP API
Supported programming languagesC
Java
JavaScript
Python
C++.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
F#
Visual Basic
Server-side scripts infoStored proceduresyesuser defined functionsusing Google App Engineyes
TriggersnonoCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infousing Google Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate 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.
Foreign keys infoReferential integrityyesnoyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesDepending on the underlying data sourceyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noDepending on the underlying data sourcenoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardDepending on the underlying data sourceAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
AgensGraphApache DrillGoogle Cloud DatastoreGraph Engine infoformer name: Trinity
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