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DBMS > Badger vs. Drizzle vs. EJDB vs. Microsoft Azure Synapse Analytics vs. TypeDB

System Properties Comparison Badger vs. Drizzle vs. EJDB vs. Microsoft Azure Synapse Analytics vs. TypeDB

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDrizzle  Xexclude from comparisonEJDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Embeddable document-store database library with JSON representation of queries (in MongoDB style)Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelKey-value storeRelational DBMSDocument storeRelational DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.31
Rank#296  Overall
#44  Document stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.70
Rank#230  Overall
#20  Graph DBMS
#106  Relational DBMS
Websitegithub.com/­dgraph-io/­badgergithub.com/­Softmotions/­ejdbazure.microsoft.com/­services/­synapse-analyticstypedb.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgergithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.microsoft.com/­azure/­synapse-analyticstypedb.com/­docs
DeveloperDGraph LabsDrizzle project, originally started by Brian AkerSoftmotionsMicrosoftVaticle
Initial release20172008201220162016
Current release7.2.4, September 20122.26.3, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGNU GPLOpen Source infoGPLv2commercialOpen Source infoGPL Version 3, commercial licenses available
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 languageGoC++CC++Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
server-lesshostedLinux
OS X
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes infostring, integer, double, bool, date, object_idyesyes
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
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsnoyesno
APIs and other access methodsJDBCin-process shared libraryADO.NET
JDBC
ODBC
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesGoC
C++
Java
PHP
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C#
Java
PHP
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnononoTransact SQLno
Triggersnono infohooks for callbacks inside the server can be used.nonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding, horizontal partitioningSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
noneyesMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno infotypically not needed, however similar functionality with collection joins possibleno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/Write Lockingyesyes
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.nono
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPnoyesyes infoat REST API level; other APIs in progress
More information provided by the system vendor
BadgerDrizzleEJDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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BadgerDrizzleEJDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTypeDB infoformerly named Grakn
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