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DBMS > Blueflood vs. Brytlyt vs. Heroic vs. KeyDB vs. Microsoft Azure Synapse Analytics

System Properties Comparison Blueflood vs. Brytlyt vs. Heroic vs. KeyDB vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonBrytlyt  Xexclude from comparisonHeroic  Xexclude from comparisonKeyDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.70
Rank#229  Overall
#32  Key-value stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websiteblueflood.iobrytlyt.iogithub.com/­spotify/­heroicgithub.com/­Snapchat/­KeyDB
keydb.dev
azure.microsoft.com/­services/­synapse-analytics
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidocs.brytlyt.iospotify.github.io/­heroicdocs.keydb.devdocs.microsoft.com/­azure/­synapse-analytics
DeveloperRackspaceBrytlytSpotifyEQ Alpha Technology Ltd.Microsoft
Initial release20132016201420192016
Current release5.0, August 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0Open Source infoBSD-3commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++ and CUDAJavaC++C++
Server operating systemsLinux
OS X
Linux
OS X
Windows
Linuxhosted
Data schemepredefined schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes
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.noyes infospecific XML-type available, but no XML query functionality.nonono
Secondary indexesnoyesyes infovia Elasticsearchyes infoby using the Redis Search moduleyes
SQL infoSupport of SQLnoyesnonoyes
APIs and other access methodsHTTP RESTADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocoADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C#
Java
PHP
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLnoLuaTransact SQL
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replicationyesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integritynoyesnonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoOptimistic locking, atomic execution of commands blocks and scriptsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardsimple password-based access control and ACLyes

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More resources
BluefloodBrytlytHeroicKeyDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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