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DBMS > Coveo vs. Databend vs. Greenplum vs. InfinityDB vs. Spark SQL

System Properties Comparison Coveo vs. Databend vs. Greenplum vs. InfinityDB vs. Spark SQL

Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonDatabend  Xexclude from comparisonGreenplum  Xexclude from comparisonInfinityDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.A Java embedded Key-Value Store which extends the Java Map interfaceSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelSearch engineRelational DBMSRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.11
Rank#118  Overall
#11  Search engines
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.coveo.comgithub.com/­datafuselabs/­databend
www.databend.com
greenplum.orgboilerbay.comspark.apache.org/­sql
Technical documentationdocs.coveo.comdocs.databend.comdocs.greenplum.orgboilerbay.com/­infinitydb/­manualspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperCoveoDatabend LabsPivotal Software Inc.Boiler Bay Inc.Apache Software Foundation
Initial release20122021200520022014
Current release1.0.59, April 20237.0.0, September 20234.03.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustJavaScala
Server operating systemshostedhosted
Linux
macOS
LinuxAll OS with a Java VMLinux
OS X
Windows
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyes
Typing infopredefined data types such as float or dateyesyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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 infosince Version 4.2nono
Secondary indexesyesnoyesno infomanual creation possible, using inversions based on multi-value capabilityno
SQL infoSupport of SQLnoyesyesnoSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP APICLI Client
JDBC
RESTful HTTP API
JDBC
ODBC
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
ODBC
Supported programming languagesC#
Java
JavaScript
Python
Go
Java
JavaScript (Node.js)
Python
Rust
C
Java
Perl
Python
R
JavaJava
Python
R
Scala
Server-side scripts infoStored proceduresnonoyesnono
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesyesnoneShardingnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integrityyesnoyesno infomanual creation possible, using inversions based on multi-value capabilityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyesACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlgranular access controls, API key management, content filtersUsers with fine-grained authorization concept, user rolesfine grained access rights according to SQL-standardnono

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More resources
CoveoDatabendGreenplumInfinityDBSpark SQL
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