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DBMS > Apache Impala vs. Faircom DB vs. Geode vs. GeoMesa vs. JSqlDb

System Properties Comparison Apache Impala vs. Faircom DB vs. Geode vs. GeoMesa vs. JSqlDb

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonGeode  Xexclude from comparisonGeoMesa  Xexclude from comparisonJSqlDb  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.JavaScript Query Language Database, stores JavaScript objects and primitives
Primary database modelRelational DBMSKey-value store
Relational DBMS
Key-value storeSpatial DBMSDocument store
Object oriented 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
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Websiteimpala.apache.orgwww.faircom.com/­products/­faircom-dbgeode.apache.orgwww.geomesa.orgjsqldb.org (offline)
Technical documentationimpala.apache.org/­impala-docs.htmldocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlgeode.apache.org/­docswww.geomesa.org/­documentation/­stable/­user/­index.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaFairCom CorporationOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.CCRi and othersKonrad von Backstrom
Initial release20131979200220142018
Current release4.1.0, June 2022V12, November 20201.1, February 20175.0.0, May 20240.8, December 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infoRestricted, free version availableOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache License 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ANSI C, C++JavaScala
Server operating systemsLinuxAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
All OS with a Java VM infothe JDK (8 or later) is also requiredLinux
macOS
Windows
Data schemeyesschema free, schema optional, schema required, partial schema,schema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes, ANSI SQL Types, JSON, typed binary structuresyesyesno
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.nonononono
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyes, ANSI SQL with proprietary extensionsSQL-like query language (OQL)nono
APIs and other access methodsJDBC
ODBC
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
Java Client API
Memcached protocol
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
.Net
All JVM based languages
C++
Groovy
Java
Scala
JavaScript
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes info.Net, JavaScript, C/C++user defined functionsnofunctions in JavaScript
Triggersnoyesyes infoCache Event Listenersnono
Partitioning methods infoMethods for storing different data on different nodesShardingFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningShardingdepending on storage layernone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes, 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 replicationdepending on storage layernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Eventual Consistencydepending on storage layer
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanotunable from ACID to Eventually Consistentyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesYes, tunable from durable to delayed durability to in-memoryyesyesyes infousing RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesdepending on storage layer
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosFine grained access rights according to SQL-standard with additional protections for filesAccess rights per client and object definableyes infodepending on the DBMS used for storage

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More resources
Apache ImpalaFaircom DB infoformerly c-treeACEGeodeGeoMesaJSqlDb
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