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DBMS > Altibase vs. ArangoDB vs. Google Cloud Datastore

System Properties Comparison Altibase vs. ArangoDB vs. Google Cloud Datastore

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Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonArangoDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform
Primary database modelRelational DBMSDocument store
Graph DBMS
Key-value store
Search engine
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#140  Overall
#68  Relational DBMS
Score4.85
Rank#66  Overall
#12  Document stores
#4  Graph DBMS
#12  Key-value stores
#7  Search engines
Score4.89
Rank#64  Overall
#11  Document stores
Websitealtibase.comwww.arangodb.comcloud.google.com/­datastore
Technical documentationaltibase.com/­resources/­manualswww.arangodb.com/­docs/­stablecloud.google.com/­datastore/­docs
DeveloperAltibaseArangoDB Inc.Google
Initial release199920122008
Current release7.1, July 20173.6, January 2020
License infoCommercial or Open SourceOpen Source infosince February 2018Open Source infoApache Version 2; Commercial license (Enterprise) availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ArangoDB Oasis –The Managed Cloud Service of ArangoDB. Oasis provides fully managed, and monitored cluster deployments of any size, with enterprise-grade security. Get started for free and continue for as little as $0,21/hour.
Implementation languageC++C++
Server operating systemsAIX
HP-UX
Linux
Linux
OS X
Windows
hosted
Data schemeyesschema-free infoautomatically recognizes schema within a collectionschema-free
Typing infopredefined data types such as float or dateyesyes infostring, double, boolean, list, hashyes, details here
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLANSI SQL-92noSQL-like query language (GQL)
APIs and other access methodsJDBC
ODBC
Proprietary protocol
AQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
Supported programming languagesC
C++
Java
C#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresstored procedures and stored functionsJavaScriptusing Google App Engine
TriggersyesnoCallbacks using the Google Apps Engine
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infosince version 2.0Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMaster-slave replication with configurable replication factorMulti-Master replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan be done with stored procedures in JavaScriptyes infousing Google Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Immediate 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 integrityyesyes inforelationships in graphsyes infovia ReferenceProperties or Ancestor paths
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)
More information provided by the system vendor
AltibaseArangoDBGoogle Cloud Datastore
Specific characteristicsAltibase is an enterprise grade open source DBMS . It allows for high performance...
» more
One Engine. One Query Language. Multiple Data Models. ArangoDB is an open source...
» more
Competitive advantagesSince its inception, Altibase has been renowned for its in-memory capabilities. Altibase...
» more
Consolidation: As a native multi-model database, can be used as a full blown document...
» more
Typical application scenariosAltibase has been deployed for over 6000 mission-critical use cases that demand hundreds...
» more
Native multi-model in ArangoDB is being used for a broad range of projects across...
» more
Key customersSince 1999, Altibase has served over 600 enterprise clients including 8 Fortune Global...
» more
Cisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Market metricsOver 600 global enterprise clients including 8 Fortune Global 500 companies Over...
» more
ArangoDB is the leading native multi-model database with over 9000 stargazers on...
» more
Licensing and pricing modelsNo License Cost Altibase is an open source DBMS which includes its sharding Subscription...
» more
Very permissive Apache 2 License for Community Edition & commercial licenses are...
» more
News

Public Preview of Microsoft Azure now available on ArangoDB Oasis
19 February 2020

Alpha 1 of the upcoming ArangoDB 3.7
19 February 2020

ArangoML Pipeline Cloud – Managed Machine Learning Metadata Service
30 January 2020

Massive Inserts into ArangoDB With NodeJS
9 January 2020

What’s new in ArangoDB 3.6: OneShard Deployments and Performance Improvements
8 January 2020

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
AltibaseArangoDBGoogle Cloud Datastore
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