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DBMS > Amazon CloudSearch vs. AnzoGraph DB vs. DuckDB vs. Sequoiadb vs. Spark SQL

System Properties Comparison Amazon CloudSearch vs. AnzoGraph DB vs. DuckDB vs. Sequoiadb vs. Spark SQL

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonDuckDB  Xexclude from comparisonSequoiadb  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationAn embeddable, in-process, column-oriented SQL OLAP RDBMSNewSQL database with distributed OLTP and SQLSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelSearch engineGraph DBMS
RDF store
Relational DBMSDocument store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score4.57
Rank#74  Overall
#40  Relational DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websiteaws.amazon.com/­cloudsearchcambridgesemantics.com/­anzographduckdb.orgwww.sequoiadb.comspark.apache.org/­sql
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmduckdb.org/­docswww.sequoiadb.com/­en/­index.php?m=Files&a=indexspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAmazonCambridge SemanticsSequoiadb Ltd.Apache Software Foundation
Initial release20122018201820132014
Current release2.3, January 20210.10, February 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availableOpen Source infoMIT LicenseOpen Source infoServer: AGPL; Client: Apache V2Open Source infoApache 2.0
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.
Implementation languageC++C++Scala
Server operating systemshostedLinuxserver-lessLinuxLinux
OS X
Windows
Data schemeyesSchema-free and OWL/RDFS-schema supportyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infooid, date, timestamp, binary, regexyes
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
SQL infoSupport of SQLnoSPARQL and SPARQL* as primary query language. Cypher preview.yesSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsHTTP APIApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
proprietary protocol using JSONJDBC
ODBC
Supported programming languagesC++
Java
Python
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
.Net
C++
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnoJavaScriptno
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredAutomatic shardingnoneShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-source replication in MPP-ClusternoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynono infonot needed in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDDocument is locked during a transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
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.yesyesnono
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users and rolesnosimple password-based access controlno

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More resources
Amazon CloudSearchAnzoGraph DBDuckDBSequoiadbSpark SQL
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