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DBMS > Brytlyt vs. DolphinDB vs. Hypertable vs. Microsoft Azure AI Search vs. Sqrrl

System Properties Comparison Brytlyt vs. DolphinDB vs. Hypertable vs. Microsoft Azure AI Search vs. Sqrrl

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonDolphinDB  Xexclude from comparisonHypertable  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSqrrl  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.An open source BigTable implementation based on distributed file systems such as HadoopSearch-as-a-service for web and mobile app developmentAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSTime Series DBMSWide column storeSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Websitebrytlyt.iowww.dolphindb.comazure.microsoft.com/­en-us/­services/­searchsqrrl.com
Technical documentationdocs.brytlyt.iodocs.dolphindb.cn/­en/­help200/­index.htmllearn.microsoft.com/­en-us/­azure/­search
DeveloperBrytlytDolphinDB, IncHypertable Inc.MicrosoftAmazon infooriginally Sqrrl Data, Inc.
Initial release20162018200920152012
Current release5.0, August 2023v2.00.4, January 20220.9.8.11, March 2016V1
License infoCommercial or Open Sourcecommercialcommercial infofree community version availableOpen Source infoGNU version 3. Commercial license availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAC++C++Java
Server operating systemsLinux
OS X
Windows
Linux
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
hostedLinux
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nono
Secondary indexesyesyesrestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLyesSQL-like query languagenonono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
C++ API
Thrift
RESTful HTTP APIAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C++
Java
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Python
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLyesnonono
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infoImplicit feature of the cloud serviceSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesselectable replication factor on file system levelyes infoImplicit feature of the cloud serviceselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnonoAtomic updates per row, document, or graph entity
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.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAdministrators, Users, Groupsnoyes infousing Azure authenticationCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
BrytlytDolphinDBHypertableMicrosoft Azure AI SearchSqrrl
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