DB-EnginesExtremeDB for everyone with an RTOSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > AlaSQL vs. Drizzle vs. H2 vs. Hive vs. TigerGraph

System Properties Comparison AlaSQL vs. Drizzle vs. H2 vs. Hive vs. TigerGraph

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonDrizzle  Xexclude from comparisonH2  Xexclude from comparisonHive  Xexclude from comparisonTigerGraph  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionJavaScript DBMS libraryMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.data warehouse software for querying and managing large distributed datasets, built on HadoopA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.53
Rank#258  Overall
#40  Document stores
#119  Relational DBMS
Score8.14
Rank#50  Overall
#32  Relational DBMS
Score64.82
Rank#18  Overall
#12  Relational DBMS
Score1.92
Rank#143  Overall
#13  Graph DBMS
Websitealasql.orgwww.h2database.comhive.apache.orgwww.tigergraph.com
Technical documentationgithub.com/­AlaSQL/­alasqlwww.h2database.com/­html/­main.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.tigergraph.com
DeveloperAndrey Gershun & Mathias R. WulffDrizzle project, originally started by Brian AkerThomas MuellerApache Software Foundation infoinitially developed by Facebook
Initial release20142008200520122017
Current release7.2.4, September 20122.2.220, July 20233.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoGNU GPLOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC++JavaJavaC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)FreeBSD
Linux
OS X
All OS with a Java VMAll OS with a Java VMLinux
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.nonono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yes infowith proprietary extensionsyesSQL-like DML and DDL statementsSQL-like query language (GSQL)
APIs and other access methodsJavaScript APIJDBCJDBC
ODBC
JDBC
ODBC
Thrift
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesJavaScriptC
C++
Java
PHP
JavaC++
Java
PHP
Python
C++
Java
Server-side scripts infoStored proceduresnonoJava Stored Procedures and User-Defined Functionsyes infouser defined functions and integration of map-reduceyes
Triggersyesno infohooks for callbacks inside the server can be used.yesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
With clustering: 2 database servers on different computers operate on identical copies of a databaseselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoquery execution via MapReduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.yesyesno
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardAccess rights for users, groups and rolesRole-based access control

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

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

More resources
AlaSQLDrizzleH2HiveTigerGraph
DB-Engines blog posts

MySQL won the April ranking; did its forks follow?
1 April 2015, Paul Andlinger

Has MySQL finally lost its mojo?
1 July 2013, Matthias Gelbmann

show all

Why is Hadoop not listed in the DB-Engines Ranking?
13 May 2013, 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

HarperDB - How and Why We Built It From The Ground Up on NodeJS
28 February 2021, hackernoon.com

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

provided by Google News

Altiscale Becomes First Hadoop-as-a-Service to Deliver Apache Hive 0.13
25 March 2024, Yahoo Singapore News

Run Apache Hive workloads using Spark SQL with Amazon EMR on EKS | Amazon Web Services
18 October 2023, AWS Blog

Data Engineering in 2024: Predictions For Data Lakes and The Serving Layer
23 January 2024, Datanami

Top 80 Hadoop Interview Questions and Answers for 2024
15 February 2024, Simplilearn

18 Top Big Data Tools and Technologies to Know About in 2024
24 January 2024, TechTarget

provided by Google News

New TigerGraph CEO Refocuses Efforts on Enterprise Customers
31 July 2023, Datanami

TigerGraph update adds enterprise-scale capabilities
31 October 2023, TechTarget

Aerospike takes on Neo4j and TigerGraph with launch of graph database
20 June 2023, SiliconANGLE News

TigerGraph Bolsters DB for Enterprise Graph Workloads
1 November 2023, Datanami

TigerGraph partners with Pascal as master distributor for APJ region
10 January 2024, VnExpress International

provided by Google News



Share this page

Featured Products

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

Ontotext logo

GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. Get it free.

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

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Present your product here