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DBMS > DolphinDB vs. Elasticsearch vs. Geode vs. Graph Engine

System Properties Comparison DolphinDB vs. Elasticsearch vs. Geode vs. Graph Engine

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonGeode  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparison
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.A distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine
Primary database modelTime Series DBMSSearch engineKey-value storeGraph DBMS
Key-value store
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.23
Rank#82  Overall
#6  Time Series DBMS
Score134.78
Rank#7  Overall
#1  Search engines
Score1.99
Rank#133  Overall
#23  Key-value stores
Score0.62
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Websitewww.dolphindb.comwww.elastic.co/­elasticsearchgeode.apache.orgwww.graphengine.io
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlgeode.apache.org/­docswww.graphengine.io/­docs/­manual
DeveloperDolphinDB, IncElasticOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Microsoft
Initial release2018201020022010
Current releasev2.00.4, January 20228.6, January 20231.1, February 2017
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoElastic LicenseOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJava.NET and C
Server operating systemsLinux
Windows
All OS with a Java VMAll OS with a Java VM infothe JDK (8 or later) is also required.NET
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyes
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.nononono
Secondary indexesyesyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLSQL-like query languageSQL-like query languageSQL-like query language (OQL)no
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Java API
RESTful HTTP/JSON API
Java Client API
Memcached protocol
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
C++
F#
Visual Basic
Server-side scripts infoStored proceduresyesyesuser defined functionsyes
Triggersnoyes infoby using the 'percolation' featureyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesES-Hadoop Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesMemcached and Redis integrationyesyes
User concepts infoAccess controlAdministrators, Users, GroupsAccess rights per client and object definable

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