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DBMS > LeanXcale vs. Microsoft Access vs. Snowflake vs. Titan

System Properties Comparison LeanXcale vs. Microsoft Access vs. Snowflake vs. Titan

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Editorial information provided by DB-Engines
NameLeanXcale  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSnowflake  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
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.)Cloud-based data warehousing service for structured and semi-structured dataTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Websitewww.leanxcale.comwww.microsoft.com/­en-us/­microsoft-365/­accesswww.snowflake.comgithub.com/­thinkaurelius/­titan
Technical documentationdeveloper.microsoft.com/­en-us/­accessdocs.snowflake.net/­manuals/­index.htmlgithub.com/­thinkaurelius/­titan/­wiki
DeveloperLeanXcaleMicrosoftSnowflake Computing Inc.Aurelius, owned by DataStax
Initial release2015199220142012
Current release1902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft OfficecommercialOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemsWindows infoNot a real database server, but making use of DLLshostedLinux
OS X
Unix
Windows
Data schemeyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)yes
Typing infopredefined data types such as float or dateyesyesyes
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.yes
Secondary indexesyesyes
SQL infoSupport of SQLyes infothrough Apache Derbyyes infobut not compliant to any SQL standardyesno
APIs and other access methodsJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET
DAO
ODBC
OLE DB
CLI Client
JDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC
Java
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
JavaScript (Node.js)
Python
Clojure
Java
Python
Server-side scripts infoStored proceduresyes infosince Access 2010 using the ACE-engineuser defined functionsyes
Triggersyes infosince Access 2010 using the ACE-engineno infosimilar concept for controling cloud resourcesyes
Partitioning methods infoMethods for storing different data on different nodesnoneyesyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyesyesyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infobut no files for transaction loggingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
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 2003Users with fine-grained authorization concept, user roles and pluggable authenticationUser authentification and security via Rexster Graph Server

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More resources
LeanXcaleMicrosoft AccessSnowflakeTitan
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