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DBMS > Dgraph vs. Hazelcast vs. JSqlDb vs. Microsoft Access vs. Sqrrl

System Properties Comparison Dgraph vs. Hazelcast vs. JSqlDb vs. Microsoft Access vs. Sqrrl

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonHazelcast  Xexclude from comparisonJSqlDb  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSqrrl  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded 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.
DescriptionDistributed and scalable native Graph DBMSA widely adopted in-memory data gridJavaScript Query Language Database, stores JavaScript objects and primitivesMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Adaptable, secure NoSQL built on Apache Accumulo
Primary database modelGraph DBMSKey-value storeDocument store
Object oriented DBMS
Relational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Websitedgraph.iohazelcast.comjsqldb.org (offline)www.microsoft.com/­en-us/­microsoft-365/­accesssqrrl.com
Technical documentationdgraph.io/­docshazelcast.org/­imdg/­docsdeveloper.microsoft.com/­en-us/­access
DeveloperDgraph Labs, Inc.HazelcastKonrad von BackstromMicrosoftAmazon infooriginally Sqrrl Data, Inc.
Initial release20162008201819922012
Current release5.3.6, November 20230.8, December 20181902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availableOpen Sourcecommercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaC++Java
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux
macOS
Windows
Windows infoNot a real database server, but making use of DLLsLinux
Data schemeschema-freeschema-freeschema-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.noyes infothe object must implement a serialization strategyno
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnoSQL-like query languagenoyes infobut not compliant to any SQL standardno
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
JavaScriptC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Servicesfunctions in JavaScriptyes infosince Access 2010 using the ACE-engineno
Triggersnoyes infoEventsnoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesyesShardingnonenoneSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyes infoReplicated Mapnonenoneselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedACID infobut no files for transaction loggingAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing RocksDByes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlno infoPlanned for future releasesRole-based access controlno infoa simple user-level security was built in till version Access 2003Cell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
DgraphHazelcastJSqlDbMicrosoft AccessSqrrl
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