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DBMS > Apache Impala vs. Coveo vs. HugeGraph vs. VoltDB

System Properties Comparison Apache Impala vs. Coveo vs. HugeGraph vs. VoltDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCoveo  Xexclude from comparisonHugeGraph  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentA fast-speed and highly-scalable Graph DBMSDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelRelational DBMSSearch engineGraph DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score2.11
Rank#118  Overall
#11  Search engines
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websiteimpala.apache.orgwww.coveo.comgithub.com/­hugegraph
hugegraph.apache.org
www.voltdb.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.coveo.comhugegraph.apache.org/­docsdocs.voltdb.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCoveoBaiduVoltDB Inc.
Initial release2013201220182010
Current release4.1.0, June 20220.911.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache Version 2.0Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJava, C++
Server operating systemsLinuxhostedLinux
macOS
Unix
Linux
OS X infofor development
Data schemeyeshybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyes infoonly a subset of SQL 99
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIJava API
RESTful HTTP API
TinkerPop Gremlin
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBCC#
Java
JavaScript
Python
Groovy
Java
Python
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoasynchronous Gremlin script jobsJava
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingyesyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyes infoedges in graphno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyes infoSnapshots and command logging
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 Kerberosgranular access controls, API key management, content filtersUsers, roles and permissionsUsers and roles with access to stored procedures

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More resources
Apache ImpalaCoveoHugeGraphVoltDB
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