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DBMS > Amazon DocumentDB vs. Blueflood vs. Ingres vs. Qdrant vs. SAP SQL Anywhere

System Properties Comparison Amazon DocumentDB vs. Blueflood vs. Ingres vs. Qdrant vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonBlueflood  Xexclude from comparisonIngres  Xexclude from comparisonQdrant  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceScalable TimeSeries DBMS based on CassandraWell established RDBMSA high-performance vector database with neural network or semantic-based matchingRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelDocument storeTime Series DBMSRelational DBMSVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score1.28
Rank#167  Overall
#6  Vector DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Websiteaws.amazon.com/­documentdbblueflood.iowww.actian.com/­databases/­ingresgithub.com/­qdrant/­qdrant
qdrant.tech
www.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationaws.amazon.com/­documentdb/­resourcesgithub.com/­rax-maas/­blueflood/­wikidocs.actian.com/­ingresqdrant.tech/­documentationhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperRackspaceActian CorporationQdrantSAP infoformerly Sybase
Initial release201920131974 infooriginally developed at University Berkely in early 1970s20211992
Current release11.2, May 202217, July 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0commercial
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 languageJavaCRust
Server operating systemshostedLinux
OS X
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Docker
Linux
macOS
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freepredefined schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesNumbers, Strings, Geo, Booleanyes
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 infobut tools for importing/exporting data from/to XML-files availablenoyes
Secondary indexesyesnoyesyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLnonoyesnoyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)HTTP REST.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyesyes, in C/C++, Java, .Net or Perl
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on Cassandrahorizontal partitioning infoIngres Star to access multiple databases simultaneouslyShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factor infobased on CassandraIngres ReplicatorCollection-level replicationSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes
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.nonoyesyes
User concepts infoAccess controlAccess rights for users and rolesnofine grained access rights according to SQL-standardKey-based authenticationfine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBBluefloodIngresQdrantSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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