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DBMS > CrateDB vs. DolphinDB vs. Hyprcubd vs. Ingres vs. ScyllaDB

System Properties Comparison CrateDB vs. DolphinDB vs. Hyprcubd vs. Ingres vs. ScyllaDB

Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonDolphinDB  Xexclude from comparisonHyprcubd  Xexclude from comparisonIngres  Xexclude from comparisonScyllaDB  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionDistributed Database based on LuceneDolphinDB 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.Serverless Time Series DBMSWell established RDBMSCassandra and DynamoDB compatible wide column store
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Time Series DBMSTime Series DBMSRelational DBMSWide column store
Secondary database modelsRelational DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.73
Rank#229  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score4.23
Rank#82  Overall
#6  Time Series DBMS
Score4.67
Rank#77  Overall
#42  Relational DBMS
Score5.27
Rank#67  Overall
#5  Wide column stores
Websitecratedb.comwww.dolphindb.comhyprcubd.com (offline)www.actian.com/­databases/­ingreswww.scylladb.com
Technical documentationcratedb.com/­docsdocs.dolphindb.cn/­en/­help200/­index.htmldocs.actian.com/­ingresdocs.scylladb.com
DeveloperCrateDolphinDB, IncHyprcubd, Inc.Actian CorporationScyllaDB
Initial release201320181974 infooriginally developed at University Berkely in early 1970s2015
Current releasev2.00.4, January 202211.2, May 2022ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourceOpen Sourcecommercial infofree community version availablecommercialcommercialOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageJavaC++GoCC++
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
Windows
hostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infotime, int, uint, float, stringyesyes
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 infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesyesnoyesyes infocluster global secondary indices
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilitySQL-like query languageSQL-like query languageyesSQL-like DML and DDL statements (CQL)
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
gRPC (https).NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languages.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
C#
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
Server-side scripts infoStored proceduresuser defined functions (Javascript)yesnoyesyes, Lua
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioninghorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelyesIngres Replicatorselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Immediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategyyesnoACIDno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnonoyes infoin-memory tables
User concepts infoAccess controlrights management via user accountsAdministrators, Users, Groupstoken accessfine grained access rights according to SQL-standardAccess rights for users can be defined per object
More information provided by the system vendor
CrateDBDolphinDBHyprcubdIngresScyllaDB
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
ScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Highly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
ScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Discord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
ScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more
ScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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More resources
CrateDBDolphinDBHyprcubdIngresScyllaDB
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