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DBMS > DolphinDB vs. GeoMesa vs. ScyllaDB vs. Valentina Server

System Properties Comparison DolphinDB vs. GeoMesa vs. ScyllaDB vs. Valentina Server

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonScyllaDB  Xexclude from comparisonValentina Server  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.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Cassandra and DynamoDB compatible wide column storeObject-relational database and reports server
Primary database modelTime Series DBMS
Vector DBMS
Spatial DBMSWide column storeRelational DBMS
Secondary database modelsRelational DBMSKey-value store
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
Score0.78
Rank#214  Overall
#4  Spatial DBMS
Score4.15
Rank#69  Overall
#5  Wide column stores
Score0.18
Rank#313  Overall
#140  Relational DBMS
Websitewww.dolphindb.comwww.geomesa.orgwww.scylladb.comwww.valentina-db.net
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.scylladb.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperDolphinDB, IncCCRi and othersScyllaDBParadigma Software
Initial release2018201420151999
Current releasev2.00.4, January 20225.0.1, July 2024ScyllaDB Open Source 6.0.2, July 20245.7.5
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoApache License 2.0Open Source infoOpen Source (AGPL), commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageC++ScalaC++
Server operating systemsLinux
Windows
LinuxLinux
OS X
Windows
Data schemeyesyesschema-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.nonono
Secondary indexesyesyesyes infocluster global secondary indicesyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like DML and DDL statements (CQL)yes
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyesnoyes, Luayes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningdepending on storage layerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layerselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesdepending on storage layeryes infoin-memory tablesyes
User concepts infoAccess controlAdministrators, Users, Groupsyes infodepending on the DBMS used for storageAccess rights for users can be defined per objectfine grained access rights according to SQL-standard
More information provided by the system vendor
DolphinDBGeoMesaScyllaDBValentina Server
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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DolphinDBGeoMesaScyllaDBValentina Server
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