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DBMS > DolphinDB vs. Geode vs. Microsoft Access vs. Sqrrl

System Properties Comparison DolphinDB vs. Geode vs. Microsoft Access vs. Sqrrl

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonGeode  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionDolphinDB 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.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesMicrosoft 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 modelTime Series DBMS
Vector DBMS
Key-value storeRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.72
Rank#100  Overall
#8  Time Series DBMS
#5  Vector DBMS
Score1.51
Rank#147  Overall
#25  Key-value stores
Score93.76
Rank#12  Overall
#8  Relational DBMS
Websitewww.dolphindb.comgeode.apache.orgwww.microsoft.com/­en-us/­microsoft-365/­accesssqrrl.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlgeode.apache.org/­docsdeveloper.microsoft.com/­en-us/­access
DeveloperDolphinDB, IncOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.MicrosoftAmazon infooriginally Sqrrl Data, Inc.
Initial release2018200219922012
Current releasev2.00.4, January 20221.1, February 20171902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++Java
Server operating systemsLinux
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredWindows infoNot a real database server, but making use of DLLsLinux
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.nono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like query language (OQL)yes infobut not compliant to any SQL standardno
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Java Client API
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
MatLab
Python
R
Rust
.Net
All JVM based languages
C++
Groovy
Java
Scala
C
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 proceduresyesuser defined functionsyes infosince Access 2010 using the ACE-engineno
Triggersnoyes infoCache Event Listenersyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnoneSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationnoneselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyes, on a single nodeACID 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 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.yesyes
User concepts infoAccess controlAdministrators, Users, GroupsAccess rights per client and object definableno 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
DolphinDBGeodeMicrosoft AccessSqrrl
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