DB-EnginesExtremeDB: the mission critical dbmsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Impala vs. LevelDB vs. Netezza vs. searchxml

System Properties Comparison Impala vs. LevelDB vs. Netezza vs. searchxml

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameImpala  Xexclude from comparisonLevelDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesData warehouse and analytics appliance part of IBM PureSystemsDBMS for structured and unstructured content wrapped with an application server
Primary database modelRelational DBMSKey-value storeRelational DBMSNative XML DBMS
Search engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.92
Rank#39  Overall
#24  Relational DBMS
Score3.68
Rank#97  Overall
#16  Key-value stores
Score17.27
Rank#40  Overall
#25  Relational DBMS
Score0.00
Rank#377  Overall
#7  Native XML DBMS
#24  Search engines
Websitewww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlgithub.com/­google/­leveldbwww.ibm.com/­products/­netezzawww.searchxml.net/­category/­products
Technical documentationdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmlgithub.com/­google/­leveldb/­blob/­master/­doc/­index.mdwww.searchxml.net/­support/­handouts
DeveloperClouderaGoogleIBMinformationpartners gmbh
Initial release2013201120002015
Current release4.1.0, June 20221.23, February 20211.0
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoBSDcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C++
Server operating systemsLinuxIllumos
Linux
OS X
Windows
Linux infoincluded in applianceWindows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesno
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
OLE DB
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesAll languages supporting JDBC/ODBCC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C++
Fortran
Java
Lua
Perl
Python
R
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyesyes infoon the application server
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneSource-replica replicationyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoUsers with fine-grained authorization conceptDomain, group and role-based access control at the document level and for application services

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
ImpalaLevelDBNetezza infoAlso called PureData System for Analytics by IBMsearchxml
Recent citations in the news

Cloudera Boosts Hadoop App Development On Impala
10 November 2014, InformationWeek

Cloudera aims to bring real-time queries to Hadoop, big data
24 October 2012, ZDNet

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

Man Busts Out of Google, Rebuilds Top-Secret Query Machine
24 October 2012, WIRED

Cloudera Launches SQL-on-Hadoop Solution
6 May 2013, Data Center Knowledge

provided by Google News

Hackers Use New Ransomware that Encrypts Files & Steals Tokens From Victim’s Machine
21 November 2022, GBHackers

Speedb Goes Open Source With Its Speedb Data Engine, A Drop-in Replacement for RocksDB
9 November 2022, Business Wire

Threat Thursday: BlackGuard Infostealer Rises from Russian Underground Markets
21 April 2022, BlackBerry Blog

What Is TRON (TRX) and Why Is It So Popular? - MUO
7 November 2022, MakeUseOf

Microsoft Teams stores auth tokens as cleartext in Windows, Linux, Macs
14 September 2022, BleepingComputer

provided by Google News

Data Is Streaming Into The Cloud, Including From IBM i
14 November 2022, IT Jungle

Reprise Expands Leadership Team to Meet Growing Demand for Demo Creation
9 November 2022, PR Newswire

Video Highlights: Modernize your IBM Mainframe & Netezza With Databricks Lakehouse
3 November 2022, insideBIGDATA

IBM Brings Back a Netezza, Attacks Yellowbrick
29 June 2020, Datanami

IBM Patches High-Severity Vulnerabilities in Cloud, Voice, Security Products
9 August 2022, SecurityWeek

provided by Google News

Job opportunities

Software Engineer Specialist
Humanity, Cincinnati, OH

Sr. ETL Test Lead
Bank of America, Charlotte, NC

Federal - Data Engineer
Accenture, San Antonio, TX

Federal - Data Engineer
Accenture, Raleigh, NC

Federal - Data Engineer
Accenture, St. Louis, MO

PS Technical Consultant IV
NCR, Georgia

Storage Software Engineer/Researcher, Infrastructure System Lab
ByteDance, Seattle, WA

Storage Software Engineer/Researcher, Infrastructure System Lab
ByteDance, Mountain View, CA

Staff Software Engineer / Database Engineer – Aria Operations for Applications - Opportunity for Working Remotely Dallas, TX
VMware, Dallas, TX

Storage Researcher/Architect, University Graduate (Infrastructure System Lab) - 2023 Start (PhD)
ByteDance, Seattle, WA

ETL Developer
Intone Networks, Remote

Netezza developer with Informatica
Cognizant, Oakland, CA

Cloud Solutions Architect
CAPCO, Remote

DataStage Developer
HCL, United States

UAT Tester III
Tek Ninjas, Reston, VA

jobs by Indeed



Share this page

Featured Products

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 80GB free.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Redis logo

The world’s most loved real‑time data platform.
Try free

Present your product here