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DBMS > Apache Impala vs. HBase vs. Microsoft Access vs. Quasardb vs. RavenDB

System Properties Comparison Apache Impala vs. HBase vs. Microsoft Access vs. Quasardb vs. RavenDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonHBase  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonQuasardb  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopWide-column store based on Apache Hadoop and on concepts of BigTableMicrosoft 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.)Distributed, high-performance timeseries databaseOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSWide column storeRelational DBMSTime Series DBMSDocument store
Secondary database modelsDocument storeGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Websiteimpala.apache.orghbase.apache.orgwww.microsoft.com/­en-us/­microsoft-365/­accessquasar.airavendb.net
Technical documentationimpala.apache.org/­impala-docs.htmlhbase.apache.org/­book.htmldeveloper.microsoft.com/­en-us/­accessdoc.quasar.ai/­masterravendb.net/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoftquasardbHibernating Rhinos
Initial release20132008199220092010
Current release4.1.0, June 20222.3.4, January 20211902 (16.0.11328.20222), March 20193.14.1, January 20245.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache version 2commercial infoBundled with Microsoft Officecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++C++C#
Server operating systemsLinuxLinux
Unix
Windows infousing Cygwin
Windows infoNot a real database server, but making use of DLLsBSD
Linux
OS X
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeyesschema-free, schema definition possibleyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesyes infointeger and binaryno
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 indexesyesnoyesyes infowith tagsyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infobut not compliant to any SQL standardSQL-like query languageSQL-like query language (RQL)
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP API
Thrift
ADO.NET
DAO
ODBC
OLE DB
HTTP API.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infoCoprocessors in Javayes infosince Access 2010 using the ACE-enginenoyes
Triggersnoyesyes infosince Access 2010 using the ACE-enginenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
noneSource-replica replication with selectable replication factorMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnowith Hadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual ConsistencyImmediate 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 integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle row ACID (across millions of columns)ACID infobut no files for transaction loggingACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient mode
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACno infoa simple user-level security was built in till version Access 2003Cryptographically strong user authentication and audit trailAuthorization levels configured per client per database

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More resources
Apache ImpalaHBaseMicrosoft AccessQuasardbRavenDB
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