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DBMS > LeanXcale vs. Microsoft Access vs. RavenDB vs. TigerGraph

System Properties Comparison LeanXcale vs. Microsoft Access vs. RavenDB vs. TigerGraph

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Editorial information provided by DB-Engines
NameLeanXcale  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRavenDB  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesMicrosoft 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.)Open Source Operational and Transactional Enterprise NoSQL Document DatabaseA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelKey-value store
Relational DBMS
Relational DBMSDocument storeGraph DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#286  Overall
#41  Key-value stores
#130  Relational DBMS
Score93.76
Rank#12  Overall
#8  Relational DBMS
Score2.68
Rank#102  Overall
#19  Document stores
Score1.44
Rank#152  Overall
#14  Graph DBMS
Websitewww.leanxcale.comwww.microsoft.com/­en-us/­microsoft-365/­accessravendb.netwww.tigergraph.com
Technical documentationdeveloper.microsoft.com/­en-us/­accessravendb.net/­docsdocs.tigergraph.com
DeveloperLeanXcaleMicrosoftHibernating Rhinos
Initial release2015199220102017
Current release1902 (16.0.11328.20222), March 20195.4, July 2022
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft OfficeOpen Source infoAGPL version 3, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C#C++
Server operating systemsWindows infoNot a real database server, but making use of DLLsLinux
macOS
Raspberry Pi
Windows
Linux
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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.no
Secondary indexesyesyes
SQL infoSupport of SQLyes infothrough Apache Derbyyes infobut not compliant to any SQL standardSQL-like query language (RQL)SQL-like query language (GSQL)
APIs and other access methodsJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET
DAO
ODBC
OLE DB
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC
Java
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresyes infosince Access 2010 using the ACE-engineyesyes
Triggersyes infosince Access 2010 using the ACE-engineyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyesyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infobut no files for transaction loggingACID, Cluster-wide transaction availableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlno infoa simple user-level security was built in till version Access 2003Authorization levels configured per client per databaseRole-based access control

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More resources
LeanXcaleMicrosoft AccessRavenDBTigerGraph
DB-Engines blog posts

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Recent citations in the news

I live with MS: Access to affordable healthcare is my lifeline | Opinion
14 August 2024, Miami Herald

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9 November 2023, Check Point Research

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23 May 2022, InfoQ.com

Install the NoSQL RavenDB Data System
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13 June 2023, PR Newswire

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TigerGraph Unveils CoPilot, Version 4.0, and New CEO
30 April 2024, Datanami

TigerGraph unveils GenAI assistant, introduces new CEO
30 April 2024, TechTarget

How TigerGraph CoPilot enables graph-augmented AI
30 April 2024, InfoWorld

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

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17 February 2021, TechCrunch

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