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DBMS > AgensGraph vs. Amazon CloudSearch vs. CrateDB vs. OrigoDB

System Properties Comparison AgensGraph vs. Amazon CloudSearch vs. CrateDB vs. OrigoDB

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAmazon CloudSearch  Xexclude from comparisonCrateDB  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA hosted search engine service by Amazon with the data stored in Amazons cloudDistributed Database based on LuceneA fully ACID in-memory object graph database
Primary database modelGraph DBMS
Relational DBMS
Search engineDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Document store
Object oriented DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#333  Overall
#30  Graph DBMS
#146  Relational DBMS
Score1.87
Rank#140  Overall
#12  Search engines
Score0.73
Rank#229  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score0.03
Rank#378  Overall
#51  Document stores
#18  Object oriented DBMS
Websitebitnine.net/­agensgraphaws.amazon.com/­cloudsearchcratedb.comorigodb.com
Technical documentationbitnine.net/­documentationdocs.aws.amazon.com/­cloudsearchcratedb.com/­docsorigodb.com/­docs
DeveloperBitnine Global Inc.AmazonCrateRobert Friberg et al
Initial release2016201220132009 infounder the name LiveDB
Current release2.1, December 2018
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen SourceOpen Source
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.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.
Implementation languageCJavaC#
Server operating systemsLinux
OS X
Windows
hostedAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
Windows
Data schemedepending on used data modelyesFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyesyesUser defined using .NET types and collections
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.nonono infocan be achieved using .NET
Secondary indexesyesyes infoall search fields are automatically indexedyesyes
SQL infoSupport of SQLyesnoyes, but no triggers and constraints, and PostgreSQL compatibilityno
APIs and other access methodsCypher Query Language
JDBC
HTTP APIADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
.NET Client API
HTTP API
LINQ
Supported programming languagesC
Java
JavaScript
Python
.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
.Net
Server-side scripts infoStored proceduresyesnouser defined functions (Javascript)yes
Triggersnononoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceyes infoautomatic partitioning across Amazon Search Instance as requiredShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infomanaged transparently by AWSConfigurable replication on table/partition-levelSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Read-after-write consistency on record level
Foreign keys infoReferential integrityyesnonodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infounique row identifiers can be used for implementing an optimistic concurrency control strategyACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardauthentication via encrypted signaturesrights management via user accountsRole based authorization
More information provided by the system vendor
AgensGraphAmazon CloudSearchCrateDBOrigoDB
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more

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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
AgensGraphAmazon CloudSearchCrateDBOrigoDB
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