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DBMS > Bangdb vs. IBM Db2 Event Store vs. Lovefield vs. OpenTSDB

System Properties Comparison Bangdb vs. IBM Db2 Event Store vs. Lovefield vs. OpenTSDB

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonLovefield  Xexclude from comparisonOpenTSDB  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphDistributed Event Store optimized for Internet of Things use casesEmbeddable relational database for web apps written in pure JavaScriptScalable Time Series DBMS based on HBase
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Event Store
Time Series DBMS
Relational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Websitebangdb.comwww.ibm.com/­products/­db2-event-storegoogle.github.io/­lovefieldopentsdb.net
Technical documentationdocs.bangdb.comwww.ibm.com/­docs/­en/­db2-event-storegithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdopentsdb.net/­docs/­build/­html/­index.html
DeveloperSachin Sinha, BangDBIBMGooglecurrently maintained by Yahoo and other contributors
Initial release2012201720142011
Current releaseBangDB 2.0, October 20212.02.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoBSD 3commercial infofree developer edition availableOpen Source infoApache 2.0Open Source infoLGPL
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C and C++JavaScriptJava
Server operating systemsLinuxLinux infoLinux, macOS, Windows for the developer additionserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesnumeric data for metrics, strings for tags
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 indexesyes infosecondary, composite, nested, reverse, geospatialnoyesno
SQL infoSupport of SQLSQL like support with command line toolyes infothrough the embedded Spark runtimeSQL-like query language infovia JavaScript builder patternno
APIs and other access methodsProprietary protocol
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP API
Telnet API
Supported programming languagesC
C#
C++
Java
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
JavaScriptErlang
Go
Java
Python
R
Ruby
Server-side scripts infoStored proceduresnoyesnono
Triggersyes, Notifications (with Streaming only)noUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Active-active shard replicationnoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlNo - written data is immutableyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyesyes infousing MemoryDBno
User concepts infoAccess controlyes (enterprise version only)fine grained access rights according to SQL-standardnono

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More resources
BangdbIBM Db2 Event StoreLovefieldOpenTSDB
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