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DBMS > AlaSQL vs. DolphinDB vs. Google Cloud Bigtable vs. GridGain vs. WakandaDB

System Properties Comparison AlaSQL vs. DolphinDB vs. Google Cloud Bigtable vs. GridGain vs. WakandaDB

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonDolphinDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGridGain  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionJavaScript DBMS libraryDolphinDB 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.GridGain is an in-memory computing platform, built on Apache IgniteWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument store
Relational DBMS
Time Series DBMSKey-value store
Wide column store
Key-value store
Relational DBMS
Object oriented DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitealasql.orgwww.dolphindb.comcloud.google.com/­bigtablewww.gridgain.comwakanda.github.io
Technical documentationgithub.com/­AlaSQL/­alasqldocs.dolphindb.cn/­en/­help200/­index.htmlcloud.google.com/­bigtable/­docswww.gridgain.com/­docs/­index.htmlwakanda.github.io/­doc
DeveloperAndrey Gershun & Mathias R. WulffDolphinDB, IncGoogleGridGain Systems, Inc.Wakanda SAS
Initial release20142018201520072012
Current releasev2.00.4, January 2022GridGain 8.5.12.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercial infofree community version availablecommercialcommercialOpen Source infoAGPLv3, extended 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.
Implementation languageJavaScriptC++Java, C++, .NetC++, JavaScript
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
Windows
hostedLinux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesnoyesyes
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.nononoyesno
Secondary indexesnoyesnoyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-like query languagenoANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsJavaScript APIJDBC
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)
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP API
Supported programming languagesJavaScriptC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
C++
Go
Java
JavaScript (Node.js)
Python
C#
C++
Java
PHP
Python
Ruby
Scala
JavaScript
Server-side scripts infoStored proceduresnoyesnoyes (compute grid and cache interceptors can be used instead)yes
Triggersyesnonoyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesInternal replication in Colossus, and regional replication between two clusters in different zonesyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageyesAtomic single-row operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyesno
User concepts infoAccess controlnoAdministrators, Users, GroupsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Security Hooks for custom implementationsyes

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More resources
AlaSQLDolphinDBGoogle Cloud BigtableGridGainWakandaDB
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