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DBMS > Apache Drill vs. Apache Impala vs. LevelDB vs. Microsoft Access vs. Netezza

System Properties Comparison Apache Drill vs. Apache Impala vs. LevelDB vs. Microsoft Access vs. Netezza

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonApache Impala  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageAnalytic DBMS for HadoopEmbeddable 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.)Data warehouse and analytics appliance part of IBM PureSystems
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#119  Overall
#23  Document stores
#56  Relational DBMS
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score2.75
Rank#107  Overall
#19  Key-value stores
Score105.40
Rank#11  Overall
#8  Relational DBMS
Score10.18
Rank#46  Overall
#29  Relational DBMS
Websitedrill.apache.orgimpala.apache.orggithub.com/­google/­leveldbwww.microsoft.com/­en-us/­microsoft-365/­accesswww.ibm.com/­products/­netezza
Technical documentationdrill.apache.org/­docsimpala.apache.org/­impala-docs.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddeveloper.microsoft.com/­en-us/­access
DeveloperApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by ClouderaGoogleMicrosoftIBM
Initial release20122013201119922000
Current release1.20.3, January 20234.1.0, June 20221.23, February 20211902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2Open 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++
Server operating systemsLinux
OS X
Windows
LinuxIllumos
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsLinux infoincluded in appliance
Data schemeschema-freeyesschema-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.nonono
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL-like DML and DDL statementsnoyes infobut not compliant to any SQL standardyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
JDBC
ODBC
OLE DB
Supported programming languagesC++All languages supporting JDBC/ODBCC++
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
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresuser defined functionsyes infouser defined functions and integration of map-reducenoyes infosince Access 2010 using the ACE-engineyes
Triggersnononoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornonenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReducenonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
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 persistentDepending on the underlying data sourceyesyes 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.Depending on the underlying data sourceno
User concepts infoAccess controlDepending on the underlying data sourceAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnono infoa simple user-level security was built in till version Access 2003Users with fine-grained authorization concept

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More resources
Apache DrillApache ImpalaLevelDBMicrosoft AccessNetezza infoAlso called PureData System for Analytics by IBM
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