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DBMS > Amazon CloudSearch vs. Citus vs. CrateDB vs. Hypertable vs. Memgraph

System Properties Comparison Amazon CloudSearch vs. Citus vs. CrateDB vs. Hypertable vs. Memgraph

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonCitus  Xexclude from comparisonCrateDB  Xexclude from comparisonHypertable  Xexclude from comparisonMemgraph  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLDistributed Database based on LuceneAn open source BigTable implementation based on distributed file systems such as HadoopAn open source graph database built for real-time streaming and compatible with Neo4j
Primary database modelSearch engineRelational DBMSDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Wide column storeGraph DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score0.73
Rank#224  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score3.02
Rank#98  Overall
#8  Graph DBMS
Websiteaws.amazon.com/­cloudsearchwww.citusdata.comcratedb.commemgraph.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.citusdata.comcratedb.com/­docsmemgraph.com/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperAmazonCrateHypertable Inc.Memgraph Ltd
Initial release20122010201320092017
Current release8.1, December 20180.9.8.11, March 2016
License infoCommercial or Open SourcecommercialOpen Source infoAGPL, commercial license also availableOpen SourceOpen Source infoGNU version 3. Commercial license availableOpen Source infoBSL 1.1; commercial license for enterprise edition available
Cloud-based only infoOnly available as a cloud serviceyesnononono
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++C and C++
Server operating systemshostedLinuxAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
OS X
Windows infoan inofficial Windows port is available
Linux
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free and schema-optional
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.yes infospecific XML type available, but no XML query functionalitynono
Secondary indexesyes infoall search fields are automatically indexedyesyesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLnoyes infostandard, with numerous extensionsyes, but no triggers and constraints, and PostgreSQL compatibilitynono
APIs and other access methodsHTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
C++ API
Thrift
Bolt protocol
Cypher query language
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.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++
Java
Perl
PHP
Python
Ruby
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functions (Javascript)no
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingShardingShardingSharding infodynamic graph partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSSource-replica replication infoother methods possible by using 3rd party extensionsConfigurable replication on table/partition-levelselectable replication factor on file system levelMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Read-after-write consistency on record level
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes inforelationships in graphs
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 strategynoACID infowith snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlauthentication via encrypted signaturesfine grained access rights according to SQL-standardrights management via user accountsnoUsers, roles and permissions
More information provided by the system vendor
Amazon CloudSearchCitusCrateDBHypertableMemgraph
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
Memgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Business Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
Graph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» 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
You can check out our pricing model and licenses on the company website .
» more

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More resources
Amazon CloudSearchCitusCrateDBHypertableMemgraph
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