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DBMS > Amazon CloudSearch vs. Amazon Neptune vs. CrateDB vs. ObjectBox

System Properties Comparison Amazon CloudSearch vs. Amazon Neptune vs. CrateDB vs. ObjectBox

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonCrateDB  Xexclude from comparisonObjectBox  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudFast, reliable graph database built for the cloudDistributed Database based on LuceneExtremely fast embedded database for small devices, IoT and Mobile
Primary database modelSearch engineGraph DBMS
RDF store
Document store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Object oriented DBMS
Secondary database modelsRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.87
Rank#140  Overall
#12  Search engines
Score2.58
Rank#112  Overall
#9  Graph DBMS
#5  RDF stores
Score0.73
Rank#229  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score1.22
Rank#172  Overall
#5  Object oriented DBMS
Websiteaws.amazon.com/­cloudsearchaws.amazon.com/­neptunecratedb.comobjectbox.io
Technical documentationdocs.aws.amazon.com/­cloudsearchaws.amazon.com/­neptune/­developer-resourcescratedb.com/­docsdocs.objectbox.io
DeveloperAmazonAmazonCrateObjectBox Limited
Initial release2012201720132017
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnono
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 languageJavaC and C++
Server operating systemshostedhostedAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportAndroid
iOS
Linux
macOS
Windows
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyesyesyes
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
Secondary indexesyes infoall search fields are automatically indexednoyesyes
SQL infoSupport of SQLnonoyes, but no triggers and constraints, and PostgreSQL compatibilityno
APIs and other access methodsHTTP APIOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
Proprietary native API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.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
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Server-side scripts infoStored proceduresnonouser defined functions (Javascript)no
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.Configurable replication on table/partition-levelonline/offline synchronization between client and server
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
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno 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 persistentyesyes infowith encyption-at-restyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)rights management via user accountsyes
More information provided by the system vendor
Amazon CloudSearchAmazon NeptuneCrateDBObjectBox
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
Amazon CloudSearchAmazon NeptuneCrateDBObjectBox
DB-Engines blog posts

Amazon - the rising star in the DBMS market
3 August 2015, Matthias Gelbmann

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4 February 2013, Paul Andlinger

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Recent citations in the news

Amazon CloudSearch – Start Searching in One Hour for Less Than $100 / Month | Amazon Web Services
12 April 2012, AWS Blog

Is Amazon CloudSearch superior to do-it-yourself search tools?
24 January 2014, TechTarget

Amazon CloudSearch – Even Better Searching for Less Than $100/Month | Amazon Web Services
24 March 2014, AWS Blog

Amazon Takes On Google And Microsoft With CloudSearch
16 April 2012, Forbes

Amazon to challenge Google with AWS CloudSearch
12 April 2012, VentureBeat

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