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DBMS > Apache Impala vs. eXtremeDB vs. JaguarDB vs. LevelDB vs. searchxml

System Properties Comparison Apache Impala vs. eXtremeDB vs. JaguarDB vs. LevelDB vs. searchxml

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisoneXtremeDB  Xexclude from comparisonJaguarDB  Xexclude from comparisonLevelDB  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopNatively in-memory DBMS with options for persistency, high-availability and clusteringPerformant, highly scalable DBMS for AI and IoT applicationsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesDBMS for structured and unstructured content wrapped with an application server
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Key-value store
Vector DBMS
Key-value storeNative XML DBMS
Search engine
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
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Websiteimpala.apache.orgwww.mcobject.comwww.jaguardb.comgithub.com/­google/­leveldbwww.searchxml.net/­category/­products
Technical documentationimpala.apache.org/­impala-docs.htmlwww.mcobject.com/­docs/­extremedb.htmwww.jaguardb.com/­support.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.searchxml.net/­support/­handouts
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaMcObjectDataJaguar, Inc.Googleinformationpartners gmbh
Initial release20132001201520112015
Current release4.1.0, June 20228.2, 20213.3 July 20231.23, February 20211.0
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoGPL V3.0Open Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++C++ infothe server part. Clients available in other languagesC++C++
Server operating systemsLinuxAIX
HP-UX
Linux
macOS
Solaris
Windows
LinuxIllumos
Linux
OS X
Windows
Windows
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 infosupport of XML interfaces availablenonoyes
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infowith the option: eXtremeSQLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnono
APIs and other access methodsJDBC
ODBC
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C#
C++
Java
Lua
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesnonoyes infoon the application server
Triggersnoyes infoby defining eventsnonono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning / shardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Multi-source replicationnoneyes infosychronisation to multiple collections
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 ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonomultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosrights management via user accountsnoDomain, group and role-based access control at the document level and for application services
More information provided by the system vendor
Apache ImpalaeXtremeDBJaguarDBLevelDBsearchxml
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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More resources
Apache ImpalaeXtremeDBJaguarDBLevelDBsearchxml
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