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DBMS > Apache Impala vs. Badger vs. Datastax Enterprise vs. Oracle Coherence

System Properties Comparison Apache Impala vs. Badger vs. Datastax Enterprise vs. Oracle Coherence

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBadger  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonOracle Coherence  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.DataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Oracles in-memory data grid solution
Primary database modelRelational DBMSKey-value storeWide column storeKey-value store
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.14
Rank#331  Overall
#49  Key-value stores
Score5.80
Rank#60  Overall
#4  Wide column stores
Score1.92
Rank#130  Overall
#22  Key-value stores
Websiteimpala.apache.orggithub.com/­dgraph-io/­badgerwww.datastax.com/­products/­datastax-enterprisewww.oracle.com/­java/­coherence
Technical documentationimpala.apache.org/­impala-docs.htmlgodoc.org/­github.com/­dgraph-io/­badgerdocs.datastax.comdocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaDGraph LabsDataStaxOracle
Initial release2013201720112007
Current release4.1.0, June 20226.8, April 202014.1, August 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoJavaJava
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
Linux
OS X
All OS with a Java VM
Data schemeyesschema-freeschema-freeschema-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.nononono
Secondary indexesyesnoyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like DML and DDL statements (CQL); Spark SQLno
APIs and other access methodsJDBC
ODBC
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
JCache
JPA
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCGoC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonono
Triggersnonoyesyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneconfigurable replication factor, datacenter aware, advanced replication for edge computingyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono infoAtomicity and isolation are supported for single operationsconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoAccess rights for users can be defined per objectauthentification to access the cache via certificates or http basic authentication
More information provided by the system vendor
Apache ImpalaBadgerDatastax EnterpriseOracle Coherence
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
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Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
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Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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Apache ImpalaBadgerDatastax EnterpriseOracle Coherence
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