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DBMS > Apache Impala vs. Firebolt vs. IBM Db2 Event Store vs. Realm vs. TinkerGraph

System Properties Comparison Apache Impala vs. Firebolt vs. IBM Db2 Event Store vs. Realm vs. TinkerGraph

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonFirebolt  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonRealm  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseDistributed Event Store optimized for Internet of Things use casesA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelRelational DBMSRelational DBMSEvent Store
Time Series DBMS
Document storeGraph 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
Score1.90
Rank#134  Overall
#62  Relational DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websiteimpala.apache.orgwww.firebolt.iowww.ibm.com/­products/­db2-event-storerealm.iotinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationimpala.apache.org/­impala-docs.htmldocs.firebolt.iowww.ibm.com/­docs/­en/­db2-event-storerealm.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaFirebolt Analytics Inc.IBMRealm, acquired by MongoDB in May 2019
Initial release20132020201720142009
Current release4.1.0, June 20222.0
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial infofree developer edition availableOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++Java
Server operating systemsLinuxhostedLinux infoLinux, macOS, Windows for the developer additionAndroid
Backend: server-less
iOS
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononono
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes infothrough the embedded Spark runtimenono
APIs and other access methodsJDBC
ODBC
.Net
ODBC
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
TinkerPop 3
Supported programming languagesAll languages supporting JDBC/ODBCGo
JavaScript (Node.js)
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
Java infowith Android only
Objective-C
React Native
Swift
Groovy
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyesno inforuns within the applications so server-side scripts are unnecessaryno
Triggersnononoyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factordepending on storage layerActive-active shard replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableno
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoIn-Memory realmyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardyesno

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Apache ImpalaFireboltIBM Db2 Event StoreRealmTinkerGraph
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