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DBMS > Hypertable vs. IBM Db2 Event Store vs. InfinityDB vs. RavenDB vs. Yaacomo

System Properties Comparison Hypertable vs. IBM Db2 Event Store vs. InfinityDB vs. RavenDB vs. Yaacomo

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonInfinityDB  Xexclude from comparisonRavenDB  Xexclude from comparisonYaacomo  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopDistributed Event Store optimized for Internet of Things use casesA Java embedded Key-Value Store which extends the Java Map interfaceOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelWide column storeEvent Store
Time Series DBMS
Key-value storeDocument storeRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series 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
Score0.08
Rank#365  Overall
#55  Key-value stores
Score2.84
Rank#101  Overall
#18  Document stores
Websitewww.ibm.com/­products/­db2-event-storeboilerbay.comravendb.netyaacomo.com
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storeboilerbay.com/­infinitydb/­manualravendb.net/­docs
DeveloperHypertable Inc.IBMBoiler Bay Inc.Hibernating RhinosQ2WEB GmbH
Initial release20092017200220102009
Current release0.9.8.11, March 20162.04.05.4, July 2022
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercial infofree developer edition availablecommercialOpen Source infoAGPL version 3, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++JavaC#
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Linux infoLinux, macOS, Windows for the developer additionAll OS with a Java VMLinux
macOS
Raspberry Pi
Windows
Android
Linux
Windows
Data schemeschema-freeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-freeyes
Typing infopredefined data types such as float or datenoyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysnoyes
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 indexesrestricted infoonly exact value or prefix value scansnono infomanual creation possible, using inversions based on multi-value capabilityyesyes
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimenoSQL-like query language (RQL)yes
APIs and other access methodsC++ API
Thrift
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
JDBC
ODBC
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Java.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesnoyes
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelActive-active shard replicationnoneMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integritynonono infomanual creation possible, using inversions based on multi-value capabilitynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoOptimistic locking for transactions; no isolation for bulk loadsACID, Cluster-wide transaction availableACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardnoAuthorization levels configured per client per databasefine grained access rights according to SQL-standard

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More resources
HypertableIBM Db2 Event StoreInfinityDBRavenDBYaacomo
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