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DBMS > AlaSQL vs. Databricks vs. JanusGraph vs. TimescaleDB

System Properties Comparison AlaSQL vs. Databricks vs. JanusGraph vs. TimescaleDB

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonDatabricks  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionJavaScript DBMS libraryThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.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
Document store
Relational DBMS
Graph DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitealasql.orgwww.databricks.comjanusgraph.orgwww.timescale.com
Technical documentationgithub.com/­AlaSQL/­alasqldocs.databricks.comdocs.janusgraph.orgdocs.timescale.com
DeveloperAndrey Gershun & Mathias R. WulffDatabricksLinux Foundation; originally developed as Titan by AureliusTimescale
Initial release2014201320172017
Current release0.6.3, February 20232.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJavaC
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedLinux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or datenoyesnumerics, 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.noyesnoyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.with Databricks SQLnoyes infofull PostgreSQL SQL syntax
APIs and other access methodsJavaScript APIJDBC
ODBC
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJavaScriptPython
R
Scala
Clojure
Java
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneyes 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 methodsnoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyes 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.yesnono
User concepts infoAccess controlnoUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standard
More information provided by the system vendor
AlaSQLDatabricksJanusGraph infosuccessor of TitanTimescaleDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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AlaSQLDatabricksJanusGraph infosuccessor of TitanTimescaleDB
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