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DBMS > Amazon CloudSearch vs. CrateDB vs. Realm vs. TerminusDB

System Properties Comparison Amazon CloudSearch vs. CrateDB vs. Realm vs. TerminusDB

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonCrateDB  Xexclude from comparisonRealm  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudDistributed Database based on LuceneA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelSearch engineDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Document storeGraph DBMS
Secondary database modelsRelational DBMSDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score0.73
Rank#224  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websiteaws.amazon.com/­cloudsearchcratedb.comrealm.ioterminusdb.com
Technical documentationdocs.aws.amazon.com/­cloudsearchcratedb.com/­docsrealm.io/­docsterminusdb.github.io/­terminusdb/­#
DeveloperAmazonCrateRealm, acquired by MongoDB in May 2019DataChemist Ltd.
Initial release2012201320142018
Current release11.0.0, January 2023
License infoCommercial or Open SourcecommercialOpen SourceOpen SourceOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnonono
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 languageJavaProlog, Rust
Server operating systemshostedAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportAndroid
Backend: server-less
iOS
Windows
Linux
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesyes
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 indexedyesyes
SQL infoSupport of SQLnoyes, but no triggers and constraints, and PostgreSQL compatibilitynoSQL-like query language (WOQL)
APIs and other access methodsHTTP APIADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languages.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
Java infowith Android only
Objective-C
React Native
Swift
JavaScript
Python
Server-side scripts infoStored proceduresnouser defined functions (Javascript)no inforuns within the applications so server-side scripts are unnecessaryyes
Triggersnonoyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingnoneGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSConfigurable replication on table/partition-levelnoneJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoIn-Memory realm
User concepts infoAccess controlauthentication via encrypted signaturesrights management via user accountsyesRole-based access control
More information provided by the system vendor
Amazon CloudSearchCrateDBRealmTerminusDB infoformer name was DataChemist
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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More resources
Amazon CloudSearchCrateDBRealmTerminusDB infoformer name was DataChemist
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Amazon CloudSearch – Start Searching in One Hour for Less Than $100 / Month | Amazon Web Services
12 April 2012, AWS Blog

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