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DBMS > IBM Db2 Event Store vs. jBASE vs. QuestDB vs. Snowflake vs. Splice Machine

System Properties Comparison IBM Db2 Event Store vs. jBASE vs. QuestDB vs. Snowflake vs. Splice Machine

Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonjBASE  Xexclude from comparisonQuestDB  Xexclude from comparisonSnowflake  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesA robust multi-value DBMS comprising development tools and middlewareA high performance open source SQL database for time series dataCloud-based data warehousing service for structured and semi-structured dataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelEvent Store
Time Series DBMS
Multivalue DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.ibm.com/­products/­db2-event-storewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasequestdb.iowww.snowflake.comsplicemachine.com
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9questdb.io/­docsdocs.snowflake.net/­manuals/­index.htmlsplicemachine.com/­how-it-works
DeveloperIBMRocket Software (formerly Zumasys)QuestDB Technology IncSnowflake Computing Inc.Splice Machine
Initial release20171991201420142014
Current release2.05.73.1, March 2021
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercialOpen Source infoApache 2.0commercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++Java (Zero-GC), C++, RustJava
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionAIX
Linux
Windows
Linux
macOS
Windows
hostedLinux
OS X
Solaris
Windows
Data schemeyesschema-freeyes infoschema-free via InfluxDB Line Protocolyes infosupport of semi-structured data formats (JSON, XML, Avro)yes
Typing infopredefined data types such as float or dateyesoptionalyesyesyes
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.noyesnoyes
Secondary indexesnonoyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeEmbedded SQL for jBASE in BASICSQL with time-series extensionsyesyes
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
CLI Client
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
Basic
Jabbascript
Java
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesyesnouser defined functionsyes infoJava
Triggersnoyesnono infosimilar concept for controling cloud resourcesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning (by timestamps)yesShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationyesSource-replica replication with eventual consistencyyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID for single-table writesACIDACID
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infothrough memory mapped filesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights can be defined down to the item levelUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
IBM Db2 Event StorejBASEQuestDBSnowflakeSplice Machine
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
IBM Db2 Event StorejBASEQuestDBSnowflakeSplice Machine
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