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DBMS > AlaSQL vs. DolphinDB vs. Immudb vs. JanusGraph vs. TimescaleDB

System Properties Comparison AlaSQL vs. DolphinDB vs. Immudb vs. JanusGraph vs. TimescaleDB

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonDolphinDB  Xexclude from comparisonImmudb  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonTimescaleDB  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.An open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument store
Relational DBMS
Time Series DBMSKey-value storeGraph DBMSTime Series DBMS
Secondary database modelsRelational DBMSRelational DBMSRelational 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
Score0.24
Rank#305  Overall
#43  Key-value stores
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitealasql.orgwww.dolphindb.comgithub.com/­codenotary/­immudb
immudb.io
janusgraph.orgwww.timescale.com
Technical documentationgithub.com/­AlaSQL/­alasqldocs.dolphindb.cn/­en/­help200/­index.htmldocs.immudb.iodocs.janusgraph.orgdocs.timescale.com
DeveloperAndrey Gershun & Mathias R. WulffDolphinDB, IncCodenotaryLinux Foundation; originally developed as Titan by AureliusTimescale
Initial release20142018202020172017
Current releasev2.00.4, January 20221.2.3, April 20220.6.3, February 20232.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercial infofree community version availableOpen Source infoApache Version 2.0Open Source infoApache 2.0Open 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++GoJavaC
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
Windows
BSD
Linux
macOS
Solaris
Windows
z/OS
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nonononoyes
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-like query languageSQL-like syntaxnoyes infofull PostgreSQL SQL syntax
APIs and other access methodsJavaScript APIJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
gRPC protocol
PostgreSQL wire protocol
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJavaScriptC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
Go
Java
JavaScript (Node.js)
Python
Clojure
Java
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyesnoyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)yes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyesSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes infoRelationships in graphsyes
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 datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlnoAdministrators, Users, GroupsUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standard

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More resources
AlaSQLDolphinDBImmudbJanusGraph infosuccessor of TitanTimescaleDB
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