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

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

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 comparisonVirtuoso  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.Virtuoso is a multi-model hybrid-RDBMS that supports management of data represented as relational tables and/or property graphs
Primary database modelSearch engineRelational DBMSTime Series DBMSRelational DBMS infoColumn orientedDocument store
Graph DBMS
Native XML DBMS
Relational DBMS
RDF store
Search engine
Secondary database modelsSpatial DBMS
Time Series DBMS
Spatial 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
Score4.27
Rank#73  Overall
#13  Document stores
#4  Graph DBMS
#2  Native XML DBMS
#39  Relational DBMS
#2  RDF stores
#9  Search engines
Websiteaws.amazon.com/­cloudsearchwww.datomic.commachbase.comwww.vertica.comvirtuoso.openlinksw.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.datomic.commachbase.com/­dbmsvertica.com/­documentationdocs.openlinksw.com/­virtuoso
DeveloperAmazonCognitectMachbaseOpenText infopreviously Micro Focus and Hewlett PackardOpenLink Software
Initial release20122012201320051998
Current release1.0.7075, December 2023V8.0, August 202312.0.3, January 20237.2.11, September 2023
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercial infofree test version availablecommercial infoLimited community edition freeOpen Source infoGPLv2, extended 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++C
Server operating systemshostedAll OS with a Java VMLinux
macOS
Windows
LinuxAIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesyesyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.yes infoSQL - Standard relational schema
RDF - Quad (S, P, O, G) or Triple (S, P, O)
XML - DTD, XML Schema
DAV - freeform filesystem objects, plus User Defined Types a/k/a Dynamic Extension Type
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.nononoyes
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.yes infoSQL-92, SQL-200x, SQL-3, SQLX
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
ADO.NET
GeoSPARQL
HTTP API
JDBC
Jena RDF API
ODBC
OLE DB
RDF4J API
RESTful HTTP API
Sesame REST HTTP Protocol
SOAP webservices
SPARQL 1.1
WebDAV
XPath
XQuery
XSLT
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
.Net
C
C#
C++
Java
JavaScript
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsnoyes, PostgreSQL PL/pgSQL, with minor differencesyes infoVirtuoso PL
TriggersnoBy using transaction functionsnoyes, called Custom Alertsyes
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 partitioningyes
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.Chain, star, and bi-directional replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infoBi-directional Spark integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
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 tablenoyes
User concepts infoAccess controlauthentication via encrypted signaturesnosimple password-based access controlfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hashFine-grained Attribute-Based Access Control (ABAC) in addition to typical coarse-grained Role-Based Access Control (RBAC) according to SQL-standard. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
Amazon CloudSearchDatomicMachbase Neo infoFormer name was InfinifluxVertica infoOpenText™ Vertica™Virtuoso
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Virtuoso is a modern multi-model RDBMS for managing data represented as tabular relations...
» more
Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
» more
Performance & Scale — as exemplified by DBpedia and the LOD Cloud it spawned, i.e.,...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Used for — Analytics/BI Conceptual Data Virtualization Enterprise Knowledge Graphs...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Broad use across enterprises and governments including — European Union (EU) US Government...
» more
Market metricsLargest installed-base ​of Multi-Model RDBMS for AI-friendly Knowledge Graphs Platform...
» more
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
» more
Available in both Commercial Enterprise and Open Source (GPL v2) Editions Feature...
» more

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More resources
Amazon CloudSearchDatomicMachbase Neo infoFormer name was InfinifluxVertica infoOpenText™ Vertica™Virtuoso
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