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DBMS > Brytlyt vs. EventStoreDB vs. HarperDB vs. Quasardb

System Properties Comparison Brytlyt vs. EventStoreDB vs. HarperDB vs. Quasardb

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonEventStoreDB  Xexclude from comparisonHarperDB  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLIndustrial-strength, open-source database solution built from the ground up for event sourcing.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Distributed, high-performance timeseries database
Primary database modelRelational DBMSEvent StoreDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score1.10
Rank#179  Overall
#1  Event Stores
Score0.55
Rank#248  Overall
#38  Document stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitebrytlyt.iowww.eventstore.comwww.harperdb.ioquasar.ai
Technical documentationdocs.brytlyt.iodevelopers.eventstore.comdocs.harperdb.io/­docsdoc.quasar.ai/­master
DeveloperBrytlytEvent Store LimitedHarperDBquasardb
Initial release2016201220172009
Current release5.0, August 202321.2, February 20213.1, August 20213.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Sourcecommercial infofree community edition availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDANode.jsC++
Server operating systemsLinux
OS X
Windows
Linux
Windows
Linux
OS X
BSD
Linux
OS X
Windows
Data schemeyesdynamic schemaschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyes infointeger and binary
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 indexesyesyesyes infowith tags
SQL infoSupport of SQLyesSQL-like data manipulation statementsSQL-like query language
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLCustom Functions infosince release 3.1no
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusterSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infothe nodes on which a table resides can be definedSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient mode
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesCryptographically strong user authentication and audit trail

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More resources
BrytlytEventStoreDBHarperDBQuasardb
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