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DBMS > Amazon CloudSearch vs. Datomic vs. Machbase Neo vs. Vertica vs. YDB

System Properties Comparison Amazon CloudSearch vs. Datomic vs. Machbase Neo vs. Vertica vs. YDB

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonDatomic  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityTimeSeries DBMS for AIoT and BigDataCloud 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.A distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelSearch engineRelational DBMSTime Series DBMSRelational DBMS infoColumn orientedDocument store
Relational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.17
Rank#337  Overall
#30  Time Series DBMS
Score10.06
Rank#42  Overall
#26  Relational DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websiteaws.amazon.com/­cloudsearchwww.datomic.commachbase.comwww.vertica.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.datomic.commachbase.com/­dbmsvertica.com/­documentationydb.tech/­en/­docs
DeveloperAmazonCognitectMachbaseOpenText infopreviously Micro Focus and Hewlett PackardYandex
Initial release20122012201320052019
Current release1.0.7075, December 2023V8.0, August 202312.0.3, January 2023
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercial infofree test version availablecommercial infoLimited community edition freeOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containersno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureCC++
Server operating systemshostedAll OS with a Java VMLinux
macOS
Windows
LinuxLinux
Data schemeyesyesyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.Flexible Schema (defined schema, partial schema, schema free)
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 indexedyesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.yes
SQL infoSupport of SQLnonoSQL-like query languageFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.SQL-like query language (YQL)
APIs and other access methodsHTTP APIRESTful HTTP APIgRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesClojure
Java
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsnoyes, PostgreSQL PL/pgSQL, with minor differencesno
TriggersnoBy using transaction functionsnoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednone infoBut extensive use of caching in the application peersShardinghorizontal partitioning, hierarchical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnone infoBut extensive use of caching in the application peersselectable replication factorMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.Active-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infoBi-directional Spark integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)noyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyes infovolatile and lookup tablenono
User concepts infoAccess controlauthentication via encrypted signaturesnosimple password-based access controlfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hashAccess rights defined for Yandex Cloud users
More information provided by the system vendor
Amazon CloudSearchDatomicMachbase Neo infoFormer name was InfinifluxVertica infoOpenText™ Vertica™YDB
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...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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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...
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More resources
Amazon CloudSearchDatomicMachbase Neo infoFormer name was InfinifluxVertica infoOpenText™ Vertica™YDB
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