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DBMS > Brytlyt vs. MaxDB vs. Qdrant vs. RavenDB vs. Spark SQL

System Properties Comparison Brytlyt vs. MaxDB vs. Qdrant vs. RavenDB vs. Spark SQL

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonQdrant  Xexclude from comparisonRavenDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA robust and reliable RDBMS optimized to run all major SAP solutionsA high-performance vector database with neural network or semantic-based matchingOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMSVector DBMSDocument storeRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score2.26
Rank#114  Overall
#55  Relational DBMS
Score1.28
Rank#167  Overall
#7  Vector DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitebrytlyt.iomaxdb.sap.comgithub.com/­qdrant/­qdrant
qdrant.tech
ravendb.netspark.apache.org/­sql
Technical documentationdocs.brytlyt.iomaxdb.sap.com/­documentationqdrant.tech/­documentationravendb.net/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperBrytlytSAP, acquired from Software AG (Adabas-D) in 1997QdrantHibernating RhinosApache Software Foundation
Initial release20161984202120102014
Current release5.0, August 20237.9.10.12, February 20245.4, July 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercialcommercial infoLimited community edition freeOpen Source infoApache Version 2.0Open Source infoAGPL version 3, commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAC++RustC#Scala
Server operating systemsLinux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Docker
Linux
macOS
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Windows
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesNumbers, Strings, Geo, Booleannoyes
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.yes infospecific XML-type available, but no XML query functionality.nonono
Secondary indexesyesyesyes infoKeywords, numberic ranges, geo, full-textyesno
SQL infoSupport of SQLyesyesnoSQL-like query language (RQL)SQL-like DML and DDL statements
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
WebDAV
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C#
Java
Perl
PHP
Python
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLyesyesno
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationCollection-level replicationMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency, tunable consistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID, Cluster-wide transaction availableno
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.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardKey-based authenticationAuthorization levels configured per client per databaseno

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BrytlytMaxDB infoformerly named Adabas-DQdrantRavenDBSpark SQL
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