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DBMS > AlaSQL vs. AnzoGraph DB vs. Apache Drill vs. H2 vs. Microsoft Access

System Properties Comparison AlaSQL vs. AnzoGraph DB vs. Apache Drill vs. H2 vs. Microsoft Access

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonApache Drill  Xexclude from comparisonH2  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionJavaScript DBMS libraryScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)
Primary database modelDocument store
Relational DBMS
Graph DBMS
RDF store
Document store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsSpatial 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
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Websitealasql.orgcambridgesemantics.com/­anzographdrill.apache.orgwww.h2database.comwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationgithub.com/­AlaSQL/­alasqldocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdrill.apache.org/­docswww.h2database.com/­html/­main.htmldeveloper.microsoft.com/­en-us/­access
DeveloperAndrey Gershun & Mathias R. WulffCambridge SemanticsApache Software FoundationThomas MuellerMicrosoft
Initial release20142018201220051992
Current release2.3, January 20211.20.3, January 20232.2.220, July 20231902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercial infofree trial version availableOpen Source infoApache Version 2Open Source infodual-licence (Mozilla public license, Eclipse public license)commercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenonononono
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)LinuxLinux
OS X
Windows
All OS with a Java VMWindows infoNot a real database server, but making use of DLLs
Data schemeschema-freeSchema-free and OWL/RDFS-schema supportschema-freeyesyes
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 indexesnononoyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SPARQL and SPARQL* as primary query language. Cypher preview.SQL SELECT statement is SQL:2003 compliantyesyes infobut not compliant to any SQL standard
APIs and other access methodsJavaScript APIApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesJavaScriptC++
Java
Python
C++JavaC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnouser defined functions and aggregatesuser defined functionsJava Stored Procedures and User-Defined Functionsyes infosince Access 2010 using the ACE-engine
Triggersyesnonoyesyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication in MPP-ClusterWith clustering: 2 database servers on different computers operate on identical copies of a databasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency in MPP-ClusternoneImmediate Consistency
Foreign keys infoReferential integrityyesno infonot needed in graphsnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDnoACIDACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesDepending on the underlying data sourceyesyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesDepending on the underlying data sourceyes
User concepts infoAccess controlnoAccess rights for users and rolesDepending on the underlying data sourcefine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003

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More resources
AlaSQLAnzoGraph DBApache DrillH2Microsoft Access
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