DBMS > BigObject vs. eXtremeDB vs. Ultipa
System Properties Comparison BigObject vs. eXtremeDB vs. Ultipa
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|Editorial information provided by DB-Engines|
|Name||BigObject Xexclude from comparison||eXtremeDB Xexclude from comparison||Ultipa Xexclude from comparison|
|Description||Analytic DBMS for real-time computations and queries||Natively in-memory DBMS with options for persistency, high-availability and clustering||High performance Graph DBMS supporting HTAP high availability cluster deployment|
|Primary database model||Relational DBMS a hierachical model (tree) can be imposed||Relational DBMS|
Time Series DBMS
|Current release||8.2, 2021|
|License Commercial or Open Source||commercial free community edition available||commercial||commercial|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Implementation language||C and C++|
|Server operating systems||Linux distributed as a docker-image|
OS X distributed as a docker-image (boot2docker)
Windows distributed as a docker-image (boot2docker)
|Typing predefined data types such as float or date||yes||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||no support of XML interfaces available|
|SQL Support of SQL||SQL-like DML and DDL statements||yes with the option: eXtremeSQL|
|APIs and other access methods||fluentd|
RESTful HTTP API
|.NET Client API|
RESTful HTTP API
|RESTful HTTP API|
|Supported programming languages||.Net|
|Server-side scripts Stored procedures||Lua||yes|
|Triggers||no||yes by defining events|
|Partitioning methods Methods for storing different data on different nodes||none||horizontal partitioning / sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||none||Active Replication Fabric™ for IoT|
Multi-source replication by means of eXtremeDB Cluster option
Source-replica replication by means of eXtremeDB High Availability option
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||none||Immediate Consistency|
|Foreign keys Referential integrity||yes automatically between fact table and dimension tables||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||ACID|
|Concurrency Support for concurrent manipulation of data||yes Read/write lock on objects (tables, trees)||yes Optimistic (MVCC) and pessimistic (locking) strategies available|
|Durability Support for making data persistent||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||yes|
|User concepts Access control||no|
|More information provided by the system vendor|
|Specific characteristics||eXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...|
|Competitive advantages||eXtremeDB databases can be modeled relationally or as objects and can utilize SQL...|
|Typical application scenarios||IoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...|
|Key customers||Schneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...|
|Market metrics||With hundreds of customers and over 30 million devices/applications using the product...|
|Licensing and pricing models||For server use cases, there is a simple per-server license irrespective of the number...|
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