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DBMS > Apache Impala vs. Coveo vs. Faircom DB vs. RavenDB

System Properties Comparison Apache Impala vs. Coveo vs. Faircom DB vs. RavenDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCoveo  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Open Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSSearch engineKey-value store
Relational DBMS
Document store
Secondary database modelsDocument storeGraph DBMS
Spatial DBMS
Time Series DBMS
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
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Websiteimpala.apache.orgwww.coveo.comwww.faircom.com/­products/­faircom-dbravendb.net
Technical documentationimpala.apache.org/­impala-docs.htmldocs.coveo.comdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlravendb.net/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCoveoFairCom CorporationHibernating Rhinos
Initial release2013201219792010
Current release4.1.0, June 2022V12, November 20205.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial infoRestricted, free version availableOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ANSI C, C++C#
Server operating systemsLinuxhostedAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
macOS
Raspberry Pi
Windows
Data schemeyeshybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema free, schema optional, schema required, partial schema,schema-free
Typing infopredefined data types such as float or dateyesyesyes, ANSI SQL Types, JSON, typed binary structuresno
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 indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes, ANSI SQL with proprietary extensionsSQL-like query language (RQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCC#
Java
JavaScript
Python
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyes info.Net, JavaScript, C/C++yes
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyestunable from ACID to Eventually ConsistentACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesYes, tunable from durable to delayed durability to in-memoryyes
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 filtersFine grained access rights according to SQL-standard with additional protections for filesAuthorization levels configured per client per database

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More resources
Apache ImpalaCoveoFaircom DB infoformerly c-treeACERavenDB
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