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DBMS > Apache Impala vs. FileMaker vs. LevelDB vs. Microsoft Access vs. VelocityDB

System Properties Comparison Apache Impala vs. FileMaker vs. LevelDB vs. Microsoft Access vs. VelocityDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonFileMaker  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopFileMaker is a cross-platform RDBMS that includes a GUI frontend.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesMicrosoft 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.)A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websiteimpala.apache.orgwww.claris.com/­filemakergithub.com/­google/­leveldbwww.microsoft.com/­en-us/­microsoft-365/­accessvelocitydb.com
Technical documentationimpala.apache.org/­impala-docs.htmlwww.claris.com/­resources/­documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddeveloper.microsoft.com/­en-us/­accessvelocitydb.com/­UserGuide
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaClaris infoa subsidiary of AppleGoogleMicrosoftVelocityDB Inc
Initial release20131983201119922011
Current release4.1.0, June 202219.4.1, November 20211.23, February 20211902 (16.0.11328.20222), March 20197.x
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoBSDcommercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C++C#
Server operating systemsLinuxiOS infoclient part only
Linux
OS X
Windows
Illumos
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsAny that supports .NET
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.noyes infoA http query request can return the data in XML formatnono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infovia pluginsnoyes infobut not compliant to any SQL standardno
APIs and other access methodsJDBC
ODBC
Filemaker WebDirect
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
.Net
Supported programming languagesAll languages supporting JDBC/ODBCPHPC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesnoyes infosince Access 2010 using the ACE-engineno
Triggersnoyesnoyes infosince Access 2010 using the ACE-engineCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication, warm standby infosince Version 14nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberossimple rights management via user accounts and connection to external directory servicesnono infoa simple user-level security was built in till version Access 2003Based on Windows Authentication

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More resources
Apache ImpalaFileMakerLevelDBMicrosoft AccessVelocityDB
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