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DBMS > Datomic vs. eXtremeDB vs. LevelDB vs. OpenTSDB

System Properties Comparison Datomic vs. eXtremeDB vs. LevelDB vs. OpenTSDB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisoneXtremeDB  Xexclude from comparisonLevelDB  Xexclude from comparisonOpenTSDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityNatively in-memory DBMS with options for persistency, high-availability and clusteringEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesScalable Time Series DBMS based on HBase
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Key-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Websitewww.datomic.comwww.mcobject.comgithub.com/­google/­leveldbopentsdb.net
Technical documentationdocs.datomic.comwww.mcobject.com/­docs/­extremedb.htmgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdopentsdb.net/­docs/­build/­html/­index.html
DeveloperCognitectMcObjectGooglecurrently maintained by Yahoo and other contributors
Initial release2012200120112011
Current release1.0.6735, June 20238.2, 20211.23, February 2021
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoBSDOpen Source infoLGPL
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC and C++C++Java
Server operating systemsAll OS with a Java VMAIX
HP-UX
Linux
macOS
Solaris
Windows
Illumos
Linux
OS X
Windows
Linux
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnonumeric 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.nono infosupport of XML interfaces availablenono
Secondary indexesyesyesnono
SQL infoSupport of SQLnoyes infowith the option: eXtremeSQLnono
APIs and other access methodsRESTful HTTP API.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
HTTP API
Telnet API
Supported programming languagesClojure
Java
.Net
C
C#
C++
Java
Lua
Python
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Erlang
Go
Java
Python
R
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionsyesnono
TriggersBy using transaction functionsyes infoby defining eventsnono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peershorizontal partitioning / shardingnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
noneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesno
User concepts infoAccess controlnonono
More information provided by the system vendor
DatomiceXtremeDBLevelDBOpenTSDB
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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DatomiceXtremeDBLevelDBOpenTSDB
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