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DBMS > Amazon CloudSearch vs. SurrealDB vs. VelocityDB vs. Vertica vs. Yaacomo

System Properties Comparison Amazon CloudSearch vs. SurrealDB vs. VelocityDB vs. Vertica vs. Yaacomo

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonSurrealDB  Xexclude from comparisonVelocityDB  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudA fully ACID transactional, developer-friendly, multi-model DBMSA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)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.OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelSearch engineDocument store
Graph DBMS
Graph DBMS
Object oriented DBMS
Relational DBMS infoColumn orientedRelational DBMS
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
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Score10.68
Rank#43  Overall
#27  Relational DBMS
Websiteaws.amazon.com/­cloudsearchsurrealdb.comvelocitydb.comwww.vertica.comyaacomo.com
Technical documentationdocs.aws.amazon.com/­cloudsearchsurrealdb.com/­docsvelocitydb.com/­UserGuidevertica.com/­documentation
DeveloperAmazonSurrealDB LtdVelocityDB IncOpenText infopreviously Micro Focus and Hewlett PackardQ2WEB GmbH
Initial release20122022201120052009
Current releasev1.5.0, May 20247.x12.0.3, January 2023
License infoCommercial or Open SourcecommercialOpen Sourcecommercialcommercial infoLimited community edition freecommercial
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 languageRustC#C++
Server operating systemshostedLinux
macOS
Windows
Any that supports .NETLinuxAndroid
Linux
Windows
Data schemeyesschema-freeyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.yes
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.nonono
Secondary indexesyes infoall search fields are automatically indexedyesNo Indexes Required. Different internal optimization strategy, but same functionality included.yes
SQL infoSupport of SQLnoSQL-like query languagenoFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.yes
APIs and other access methodsHTTP APIGraphQL
RESTful HTTP API
WebSocket
.NetADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
JDBC
ODBC
Supported programming languagesDeno
Go
JavaScript (Node.js)
Rust
.NetC#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnonoyes, PostgreSQL PL/pgSQL, with minor differences
TriggersnoCallbacks are triggered when data changesyes, called Custom Alertsyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardinghorizontal partitioning, hierarchical partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.Source-replica 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 integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlauthentication via encrypted signaturesyes, based on authentication and database rulesBased on Windows Authenticationfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hashfine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon CloudSearchSurrealDBVelocityDBVertica infoOpenText™ Vertica™Yaacomo
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 CloudSearchSurrealDBVelocityDBVertica infoOpenText™ Vertica™Yaacomo
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