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DBMS > Apache Impala vs. Faircom EDGE vs. ObjectBox vs. RisingWave vs. Teradata

System Properties Comparison Apache Impala vs. Faircom EDGE vs. ObjectBox vs. RisingWave vs. Teradata

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonObjectBox  Xexclude from comparisonRisingWave  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsA distributed RDBMS for stream processing, wire-compatible with PostgreSQLA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMSKey-value store
Relational DBMS
Object oriented DBMS
Vector DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument storeTime Series DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score0.02
Rank#370  Overall
#55  Key-value stores
#157  Relational DBMS
Score1.08
Rank#179  Overall
#6  Object oriented DBMS
#9  Vector DBMS
Score0.61
Rank#237  Overall
#111  Relational DBMS
Score41.47
Rank#22  Overall
#15  Relational DBMS
Websiteimpala.apache.orgwww.faircom.com/­products/­faircom-edgegithub.com/­objectbox
objectbox.io
www.risingwave.com/­databasewww.teradata.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.objectbox.iodocs.risingwave.com/­docs/­current/­introdocs.teradata.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaFairCom CorporationObjectBox LimitedRisingWave LabsTeradata
Initial release20131979201720221984
Current release4.1.0, June 2022V3, October 20204.0 (May 2024)1.2, September 2023Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infoRestricted, free version availableBindings are released under Apache 2.0 infoApache License 2.0Open Source infoApache Version 2.0commercial
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++C and C++Rust
Server operating systemsLinuxAndroid
Linux infoARM, x86
Raspbian
Windows
Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Docker
Linux
macOS
hosted
Linux
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyes, plus "flex" map-like typesStandard SQL-types and JSONyes
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.noyesnonoyes
Secondary indexesyesyesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infoANSI SQL queriesnoyesyes infoSQL 2016 + extensions
APIs and other access methodsJDBC
ODBC
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Proprietary native APIJDBC
PostgreSQL wire protocol
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
Go
Java
JavaScript (Node.js)
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes info.Net, JavaScript, C/C++noUDFs in Python or Javayes infoUDFs, stored procedures, table functions in parallel
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingFile partitioning infoCustomizable business rules for partitioningnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoSynchronous and asynchronous realtime replication based on transaction logsData sync between devices allowing occasional connected databases to work completely offlineMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infowhen using SQLyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyes
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.noyesnoyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.yesUsers and Rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache ImpalaFaircom EDGE infoformerly c-treeEDGEObjectBoxRisingWaveTeradata
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18 June 2024

The on-device Vector Database for Android and Java
29 May 2024

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More resources
Apache ImpalaFaircom EDGE infoformerly c-treeEDGEObjectBoxRisingWaveTeradata
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