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DBMS > Apache Impala vs. dBASE vs. SingleStore

System Properties Comparison Apache Impala vs. dBASE vs. SingleStore

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisondBASE  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopdBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.MySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.06
Rank#39  Overall
#24  Relational DBMS
Score12.24
Rank#43  Overall
#27  Relational DBMS
Score6.03
Rank#62  Overall
#35  Relational DBMS
Websiteimpala.apache.orgwww.dbase.comwww.singlestore.com
Technical documentationimpala.apache.org/­impala-docs.htmlwww.dbase.com/­support/­knowledgebasedocs.singlestore.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaAsthon TateSingleStore Inc.
Initial release201319792013
Current release4.1.0, June 2022dBASE 2019, 20198.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageC++C++, Go
Server operating systemsLinuxDOS infodBase Classic
Windows infodBase Pro
Linux info64 bit version required
Data schemeyesyesyes
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infobut no triggers and foreign keys
APIs and other access methodsJDBC
ODBC
none infoThe IDE can access other DBMS or ODBC-sources.Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCdBase proprietary IDEBash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceno infoThe IDE can access stored procedures in other database systems.yes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infonot for dBase internal data, but IDE does support transactions when accessing external DBMSACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
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 KerberosAccess rights for users and rolesFine grained access control via users, groups and roles
More information provided by the system vendor
Apache ImpaladBASESingleStore infoformer name was MemSQL
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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Apache ImpaladBASESingleStore infoformer name was MemSQL
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Recent citations in the news

Apache Impala 4 Supports Operator Multi-Threading
29 July 2021, iProgrammer

Apache Impala becomes Top-Level Project
28 November 2017, SDTimes.com

Cloudera Bringing Impala to AWS Cloud
28 November 2017, Datanami

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24 February 2016, CIO

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30 Years Ago: The Rise, Fall and Survival of Ashton-Tate's dBASE
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6 April 2023, Lifewire

Microsoft Access 2016 Now Supports dBase Database Format
7 September 2016, redmondmag.com

DBASE 5.0 FOR WINDOWS HAS A BIG ENGINE, BUT LACKS SPEED
26 September 1994, The Washington Post

A malicious document could lead to RCE in Apache OpenOffice (CVE-2021-33035)
22 September 2021, Help Net Security

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SingleStore CEO sees little future for purpose-built vector databases
24 January 2024, VentureBeat

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5 March 2024, Business Wire

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