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DBMS > Badger vs. EJDB vs. Google Cloud Spanner vs. IBM Db2 Event Store vs. Oracle Coherence

System Properties Comparison Badger vs. EJDB vs. Google Cloud Spanner vs. IBM Db2 Event Store vs. Oracle Coherence

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonEJDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonOracle Coherence  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Embeddable document-store database library with JSON representation of queries (in MongoDB style)A 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 casesOracles in-memory data grid solution
Primary database modelKey-value storeDocument storeRelational DBMSEvent Store
Time Series DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.31
Rank#296  Overall
#44  Document stores
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Websitegithub.com/­dgraph-io/­badgergithub.com/­Softmotions/­ejdbcloud.google.com/­spannerwww.ibm.com/­products/­db2-event-storewww.oracle.com/­java/­coherence
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgergithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdcloud.google.com/­spanner/­docswww.ibm.com/­docs/­en/­db2-event-storedocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperDGraph LabsSoftmotionsGoogleIBMOracle
Initial release20172012201720172007
Current release2.014.1, August 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPLv2commercialcommercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoCC and C++Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
server-lesshostedLinux infoLinux, macOS, Windows for the developer additionAll OS with a Java VM
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyes infostring, integer, double, bool, date, object_idyesyesyes
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 indexesnonoyesnono
SQL infoSupport of SQLnonoyes infoQuery statements complying to ANSI 2011yes infothrough the embedded Spark runtimeno
APIs and other access methodsin-process shared librarygRPC (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
JCache
JPA
RESTful HTTP API
Supported programming languagesGoActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C++
Java
Server-side scripts infoStored proceduresnononoyesno
Triggersnonononoyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMulti-source replication with 3 replicas for regional instances.Active-active shard replicationyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possibleyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoStrict serializable isolationnoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write LockingyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlnonoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardauthentification to access the cache via certificates or http basic authentication

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More resources
BadgerEJDBGoogle Cloud SpannerIBM Db2 Event StoreOracle Coherence
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