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DBMS > AlaSQL vs. DolphinDB vs. GridGain vs. Interbase vs. JanusGraph

System Properties Comparison AlaSQL vs. DolphinDB vs. GridGain vs. Interbase vs. JanusGraph

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonDolphinDB  Xexclude from comparisonGridGain  Xexclude from comparisonInterbase  Xexclude from comparisonJanusGraph infosuccessor of Titan  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.GridGain is an in-memory computing platform, built on Apache IgniteLight-weight proven RDBMS infooriginally from BorlandA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017
Primary database modelDocument store
Relational DBMS
Time Series DBMSKey-value store
Relational DBMS
Relational DBMSGraph 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
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Websitealasql.orgwww.dolphindb.comwww.gridgain.comwww.embarcadero.com/­products/­interbasejanusgraph.org
Technical documentationgithub.com/­AlaSQL/­alasqldocs.dolphindb.cn/­en/­help200/­index.htmlwww.gridgain.com/­docs/­index.htmldocs.embarcadero.com/­products/­interbasedocs.janusgraph.org
DeveloperAndrey Gershun & Mathias R. WulffDolphinDB, IncGridGain Systems, Inc.EmbarcaderoLinux Foundation; originally developed as Titan by Aurelius
Initial release20142018200719842017
Current releasev2.00.4, January 2022GridGain 8.5.1InterBase 2020, December 20190.6.3, February 2023
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercial infofree community version availablecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++Java, C++, .NetCJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
Windows
Linux
OS X
Solaris
Windows
Android
iOS
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nonoyesno infoexport as XML data possibleno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-like query languageANSI-99 for query and DML statements, subset of DDLyesno
APIs and other access methodsJavaScript APIJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesJavaScriptC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Clojure
Java
Python
Server-side scripts infoStored proceduresnoyesyes (compute grid and cache interceptors can be used instead)yes infoInterbase procedure and trigger languageyes
Triggersyesnoyes (cache interceptors and events)yesyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningShardingnoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyes (replicated cache)Interbase Change Viewsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes (compute grid and hadoop accelerator)noyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageyesACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlnoAdministrators, Users, GroupsSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Server

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AlaSQLDolphinDBGridGainInterbaseJanusGraph infosuccessor of Titan
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