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DBMS > Amazon CloudSearch vs. Blueflood vs. Datomic vs. Percona Server for MongoDB vs. Vertica

System Properties Comparison Amazon CloudSearch vs. Blueflood vs. Datomic vs. Percona Server for MongoDB vs. Vertica

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonBlueflood  Xexclude from comparisonDatomic  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudScalable TimeSeries DBMS based on CassandraDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Cloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelSearch engineTime Series DBMSRelational DBMSDocument storeRelational DBMS infoColumn oriented
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score10.68
Rank#43  Overall
#27  Relational DBMS
Websiteaws.amazon.com/­cloudsearchblueflood.iowww.datomic.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.vertica.com
Technical documentationdocs.aws.amazon.com/­cloudsearchgithub.com/­rax-maas/­blueflood/­wikidocs.datomic.comdocs.percona.com/­percona-distribution-for-mongodbvertica.com/­documentation
DeveloperAmazonRackspaceCognitectPerconaOpenText infopreviously Micro Focus and Hewlett Packard
Initial release20122013201220152005
Current release1.0.6735, June 20233.4.10-2.10, November 201712.0.3, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infolimited edition freeOpen Source infoGPL Version 2commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesnononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, ClojureC++C++
Server operating systemshostedLinux
OS X
All OS with a Java VMLinuxLinux
Data schemeyespredefined schemeyesschema-freeYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononono
Secondary indexesyes infoall search fields are automatically indexednoyesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnonononoFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsHTTP APIHTTP RESTRESTful HTTP APIproprietary protocol using JSONADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesClojure
Java
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnonoyes infoTransaction FunctionsJavaScriptyes, PostgreSQL PL/pgSQL, with minor differences
TriggersnonoBy using transaction functionsnoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infobased on Cassandranone infoBut extensive use of caching in the application peersShardinghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSselectable replication factor infobased on Cassandranone infoBut extensive use of caching in the application peersSource-replica replicationMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyes infovia In-Memory Engineno
User concepts infoAccess controlauthentication via encrypted signaturesnonoAccess rights for users and rolesfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Amazon CloudSearchBluefloodDatomicPercona Server for MongoDBVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
» more

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More resources
Amazon CloudSearchBluefloodDatomicPercona Server for MongoDBVertica infoOpenText™ Vertica™
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