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DBMS > Blueflood vs. Ehcache vs. etcd vs. Hazelcast vs. IBM Db2 Event Store

System Properties Comparison Blueflood vs. Ehcache vs. etcd vs. Hazelcast vs. IBM Db2 Event Store

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonEhcache  Xexclude from comparisonetcd  Xexclude from comparisonHazelcast  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraA widely adopted Java cache with tiered storage optionsA distributed reliable key-value storeA widely adopted in-memory data gridDistributed Event Store optimized for Internet of Things use cases
Primary database modelTime Series DBMSKey-value storeKey-value storeKey-value storeEvent Store
Time Series DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score4.89
Rank#67  Overall
#8  Key-value stores
Score7.25
Rank#54  Overall
#5  Key-value stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Websiteblueflood.iowww.ehcache.orgetcd.io
github.com/­etcd-io/­etcd
hazelcast.comwww.ibm.com/­products/­db2-event-store
Technical documentationgithub.com/­rax-maas/­blueflood/­wikiwww.ehcache.org/­documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
hazelcast.org/­imdg/­docswww.ibm.com/­docs/­en/­db2-event-store
DeveloperRackspaceTerracotta Inc, owned by Software AGHazelcastIBM
Initial release2013200920082017
Current release3.10.0, March 20223.4, August 20195.3.6, November 20232.0
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availablecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaGoJavaC and C++
Server operating systemsLinux
OS X
All OS with a Java VMFreeBSD
Linux
Windows infoexperimental
All OS with a Java VMLinux infoLinux, macOS, Windows for the developer addition
Data schemepredefined schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nononoyes infothe object must implement a serialization strategyno
Secondary indexesnononoyesno
SQL infoSupport of SQLnononoSQL-like query languageyes infothrough the embedded Spark runtime
APIs and other access methodsHTTP RESTJCachegRPC
JSON over HTTP
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJava.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresnononoyes infoEvent Listeners, Executor Servicesyes
Triggersnoyes infoCache Event Listenersyes, watching key changesyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding infoby using Terracotta ServerShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes infoby using Terracotta ServerUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes infoReplicated MapActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Tunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infosupports JTA and can work as an XA resourcenoone or two-phase-commit; repeatable reads; read commitedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesNo - written data is immutable
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyesyes
User concepts infoAccess controlnononoRole-based access controlfine grained access rights according to SQL-standard

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More resources
BluefloodEhcacheetcdHazelcastIBM Db2 Event Store
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