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DBMS > Apache Impala vs. BoltDB vs. Datomic vs. Faircom EDGE vs. Heroic

System Properties Comparison Apache Impala vs. BoltDB vs. Datomic vs. Faircom EDGE vs. Heroic

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBoltDB  Xexclude from comparisonDatomic  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonHeroic  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn embedded key-value store for Go.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch
Primary database modelRelational DBMSKey-value storeRelational DBMSKey-value store
Relational DBMS
Time Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.74
Rank#220  Overall
#31  Key-value stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Websiteimpala.apache.orggithub.com/­boltdb/­boltwww.datomic.comwww.faircom.com/­products/­faircom-edgegithub.com/­spotify/­heroic
Technical documentationimpala.apache.org/­impala-docs.htmldocs.datomic.comdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlspotify.github.io/­heroic
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCognitectFairCom CorporationSpotify
Initial release20132013201219792014
Current release4.1.0, June 20221.0.6735, June 2023V3, October 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoMIT Licensecommercial infolimited edition freecommercial infoRestricted, free version availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoJava, ClojureANSI C, C++Java
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMAndroid
Linux infoARM, x86
Raspbian
Windows
Data schemeyesschema-freeyesFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesnoyesyes, ANSI Standard SQL Typesyes
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.nononoyesno
Secondary indexesyesnoyesyesyes infovia Elasticsearch
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyes infoANSI SQL queriesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCGoClojure
Java
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyes infoTransaction Functionsyes info.Net, JavaScript, C/C++no
TriggersnonoBy using transaction functionsyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone infoBut extensive use of caching in the application peersFile partitioning infoCustomizable business rules for partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornonenone infoBut extensive use of caching in the application peersyes infoSynchronous and asynchronous realtime replication based on transaction logsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate ConsistencyImmediate Consistency
Tunable Consistency
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes infowhen using SQLno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoacross SQL and NoSQLyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes inforecommended only for testing and developmentyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnonoFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.

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More resources
Apache ImpalaBoltDBDatomicFaircom EDGE infoformerly c-treeEDGEHeroic
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