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DBMS > DolphinDB vs. Rockset vs. ScyllaDB vs. SpaceTime

System Properties Comparison DolphinDB vs. Rockset vs. ScyllaDB vs. SpaceTime

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonRockset  Xexclude from comparisonScyllaDB  Xexclude from comparisonSpaceTime  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 scalable, reliable search and analytics service in the cloud, built on RocksDBCassandra and DynamoDB compatible wide column storeSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelTime Series DBMSDocument storeWide column storeSpatial DBMS
Secondary database modelsRelational DBMSRelational DBMS
Search engine
Key-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score4.75
Rank#68  Overall
#5  Wide column stores
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Websitewww.dolphindb.comrockset.comwww.scylladb.comwww.mireo.com/­spacetime
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmldocs.rockset.comdocs.scylladb.com
DeveloperDolphinDB, IncRocksetScyllaDBMireo
Initial release2018201920152020
Current releasev2.00.4, January 2022ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialOpen Source infoOpen Source (AGPL), commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
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++C++C++C++
Server operating systemsLinux
Windows
hostedLinuxLinux
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesdynamic typingyesyes
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 infoingestion from XML files supportednono
Secondary indexesyesall fields are automatically indexedyes infocluster global secondary indicesno
SQL infoSupport of SQLSQL-like query languageRead-only SQL queries, including JOINsSQL-like DML and DDL statements (CQL)A subset of ANSI SQL is implemented
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
HTTP RESTProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Go
Java
JavaScript (Node.js)
Python
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
C#
C++
Python
Server-side scripts infoStored proceduresyesnoyes, Luano
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningAutomatic shardingShardingFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesselectable replication factor infoRepresentation of geographical distribution of servers is possibleReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnono infoAtomicity and isolation are supported for single operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyes infoin-memory tablesno
User concepts infoAccess controlAdministrators, Users, GroupsAccess rights for users and organizations can be defined via Rockset consoleAccess rights for users can be defined per objectyes
More information provided by the system vendor
DolphinDBRocksetScyllaDBSpaceTime
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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DolphinDBRocksetScyllaDBSpaceTime
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