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DBMS > DolphinDB vs. Google Cloud Bigtable vs. IBM Cloudant vs. SingleStore

System Properties Comparison DolphinDB vs. Google Cloud Bigtable vs. IBM Cloudant vs. SingleStore

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonSingleStore infoformer name was MemSQL  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.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Database as a Service offering based on Apache CouchDBMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelTime Series DBMS
Vector DBMS
Key-value store
Wide column store
Document storeRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector 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
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score2.85
Rank#95  Overall
#18  Document stores
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websitewww.dolphindb.comcloud.google.com/­bigtablewww.ibm.com/­products/­cloudantwww.singlestore.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlcloud.google.com/­bigtable/­docscloud.ibm.com/­docs/­Cloudantdocs.singlestore.com
DeveloperDolphinDB, IncGoogleIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014SingleStore Inc.
Initial release2018201520102013
Current releasev2.00.4, January 20228.5, January 2024
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialcommercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ErlangC++, Go
Server operating systemsLinux
Windows
hostedhostedLinux info64 bit version required
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnonoyes
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 indexesyesnoyesyes
SQL infoSupport of SQLSQL-like query languagenonoyes infobut no triggers and foreign keys
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP/JSON APICluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
C++
Go
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript
Objective-C
PHP
Ruby
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnoView functions (Map-Reduce) in JavaScriptyes
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
Source-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyesno infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesAtomic single-row operationsno infoatomic operations within a document possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlAdministrators, Users, GroupsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users can be defined per databaseFine grained access control via users, groups and roles

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More resources
DolphinDBGoogle Cloud BigtableIBM CloudantSingleStore infoformer name was MemSQL
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