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DBMS > Apache Doris vs. Google Cloud Spanner vs. IBM Db2 Event Store vs. VoltDB

System Properties Comparison Apache Doris vs. Google Cloud Spanner vs. IBM Db2 Event Store vs. VoltDB

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Distributed Event Store optimized for Internet of Things use casesDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelRelational DBMSRelational DBMSEvent Store
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
cloud.google.com/­spannerwww.ibm.com/­products/­db2-event-storewww.voltdb.com
Technical documentationgithub.com/­apache/­doris/­wikicloud.google.com/­spanner/­docswww.ibm.com/­docs/­en/­db2-event-storedocs.voltdb.com
DeveloperApache Software Foundation, originally contributed from BaiduGoogleIBMVoltDB Inc.
Initial release2017201720172010
Current release1.2.2, February 20232.011.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infofree developer edition availableOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++Java, C++
Server operating systemsLinuxhostedLinux infoLinux, macOS, Windows for the developer additionLinux
OS X infofor development
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesyes infoQuery statements complying to ANSI 2011yes infothrough the embedded Spark runtimeyes infoonly a subset of SQL 99
APIs and other access methodsJDBC
MySQL client
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesJavaGo
Java
JavaScript (Node.js)
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsnoyesJava
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication with 3 replicas for regional instances.Active-active shard replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationnoACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardUsers and roles with access to stored procedures

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More resources
Apache DorisGoogle Cloud SpannerIBM Db2 Event StoreVoltDB
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