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DBMS > Axibase vs. DolphinDB vs. GeoSpock vs. Google Cloud Datastore

System Properties Comparison Axibase vs. DolphinDB vs. GeoSpock vs. Google Cloud Datastore

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Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonDolphinDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationDolphinDB 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.Spatial and temporal data processing engine for extreme data scaleAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform
Primary database modelTime Series DBMSTime Series DBMSRelational DBMSDocument store
Secondary database modelsRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#288  Overall
#25  Time Series DBMS
Score4.23
Rank#82  Overall
#6  Time Series DBMS
Score4.49
Rank#79  Overall
#12  Document stores
Websiteaxibase.com/­docs/­atsd/­financewww.dolphindb.comgeospock.comcloud.google.com/­datastore
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlcloud.google.com/­datastore/­docs
DeveloperAxibase CorporationDolphinDB, IncGeoSpockGoogle
Initial release201320182008
Current release15585v2.00.4, January 20222.0, September 2019
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercial infofree community version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Java, Javascript
Server operating systemsLinuxLinux
Windows
hostedhosted
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesyesyes, details here
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 indexesnoyestemporal, categoricalyes
SQL infoSupport of SQLSQL-like query languageSQL-like query languageANSI SQL for query only (using Presto)SQL-like query language (GQL)
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JDBCgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Supported programming languagesGo
Java
PHP
Python
R
Ruby
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyesnousing Google App Engine
TriggersyesnonoCallbacks using the Google Apps Engine
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnoyes infousing Google Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.
Foreign keys infoReferential integritynononoyes infovia ReferenceProperties or Ancestor paths
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoACID infoSerializable Isolation within Transactions, Read Committed outside of Transactions
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.yesnono
User concepts infoAccess controlAdministrators, Users, GroupsAccess rights for users can be defined per tableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
AxibaseDolphinDBGeoSpockGoogle Cloud Datastore
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