DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > AlaSQL vs. Google BigQuery vs. JanusGraph vs. SAP HANA

System Properties Comparison AlaSQL vs. Google BigQuery vs. JanusGraph vs. SAP HANA

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionJavaScript DBMS libraryLarge scale data warehouse service with append-only tablesA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017In-memory, column based data store. Available as appliance or cloud service
Primary database modelDocument store
Relational DBMS
Relational DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial 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
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score44.27
Rank#23  Overall
#16  Relational DBMS
Websitealasql.orgcloud.google.com/­bigqueryjanusgraph.orgwww.sap.com/­products/­hana.html
Technical documentationgithub.com/­AlaSQL/­alasqlcloud.google.com/­bigquery/­docsdocs.janusgraph.orghelp.sap.com/­hana
DeveloperAndrey Gershun & Mathias R. WulffGoogleLinux Foundation; originally developed as Titan by AureliusSAP
Initial release2014201020172010
Current release0.6.3, February 20232.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedLinux
OS X
Unix
Windows
Appliance or cloud-service
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesnonoyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yesnoyes
APIs and other access methodsJavaScript APIRESTful HTTP/JSON APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
ODBC
Supported programming languagesJavaScript.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Clojure
Java
Python
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptyesSQLScript, R
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)yes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes 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 integrityyesnoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageno infoSince BigQuery is designed for querying dataACIDACID
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.yesnoyes
User concepts infoAccess controlnoAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)User authentification and security via Rexster Graph Serveryes

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more
CData: Connect to Big Data & NoSQL through standard Drivers.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
AlaSQLGoogle BigQueryJanusGraph infosuccessor of TitanSAP HANA
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2023
2 January 2024, Matthias Gelbmann, Paul Andlinger

Snowflake is the DBMS of the Year 2022, defending the title from last year
3 January 2023, Matthias Gelbmann, Paul Andlinger

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

show all

Recent citations in the news

Create a Marvel Database with SQL and Javascript, the easy way
2 July 2019, Towards Data Science

Multi faceted data exploration in the browser using Leaflet and amCharts
3 May 2020, Towards Data Science

provided by Google News

Winning the 2020 Google Cloud Technology Partner of the Year – Infrastructure Modernization Award
22 December 2021, CIO

Google Cloud partners Coinbase to accept crypto payments
11 October 2022, Ledger Insights

Hightouch Raises $38M in Funding
19 July 2023, FinSMEs

provided by Google News

Simple Deployment of a Graph Database: JanusGraph
12 October 2020, Towards Data Science

Database Deep Dives: JanusGraph
8 August 2019, ibm.com

JanusGraph Picks Up Where TitanDB Left Off
13 January 2017, Datanami

Nordstrom Builds Flexible Backend Ops with Kubernetes, Spark and JanusGraph
3 October 2019, The New Stack

Compose for JanusGraph arrives on Bluemix
15 September 2017, ibm.com

provided by Google News

Combine the Power of AI with Business Context Using SAP HANA Cloud Vector Engine
2 April 2024, SAP News

Automating the update process of a clustered SAP HANA DB using nZDT and Ansible | Amazon Web Services
16 November 2023, AWS Blog

5 New Google Cloud-SAP Products Launched At Sapphire For AI, HANA And Cloud
4 June 2024, CRN

SAP HANA Powers Operations Bundle To Fuel Big Data Insights
30 May 2024, Data Center Knowledge

Accenture and SAP Accelerate Business Transformation with AI
14 June 2024, InsideSAP

provided by Google News



Share this page

Featured Products

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Present your product here