DBMS > Blazegraph vs. IRONdb vs. LeanXcale
System Properties Comparison Blazegraph vs. IRONdb vs. LeanXcale
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|Editorial information provided by DB-Engines|
|Name||Blazegraph Xexclude from comparison||IRONdb Xexclude from comparison||LeanXcale Xexclude from comparison|
|Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.|
|Description||High-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.||A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity||A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities|
|Primary database model||Graph DBMS|
|Time Series DBMS||Key-value store|
|Current release||2.1.5, March 2019||V0.10.20, January 2018|
|License Commercial or Open Source||Open Source extended commercial license 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||Java||C and C++|
|Server operating systems||Linux|
|Typing predefined data types such as float or date||yes RDF literal types||yes text, numeric, histograms|
|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|
|SQL Support of SQL||SPARQL is used as query language||SQL-like query language (Circonus Analytics Query Language: CAQL)||yes through Apache Derby|
|APIs and other access methods||Java API|
RESTful HTTP API
proprietary key/value interface
|Supported programming languages||.Net|
|Server-side scripts Stored procedures||yes||yes, in Lua|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Automatic, metric affinity per node|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||configurable replication factor, datacenter aware|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency or Eventual Consistency depending on configuration||Immediate consistency per node, eventual consistency across nodes||Immediate Consistency|
|Foreign keys Referential integrity||yes Relationships in Graphs||no||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||no||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||yes|
|User concepts Access control||Security and Authentication via Web Application Container (Tomcat, Jetty)||no|
|More information provided by the system vendor|
|Specific characteristics||Full ACID and full SQL operational database with analytical queries over operational...|
|Competitive advantages||Linear scalability upto 100s of nodes (tested with 100 nodes and TPC-C).|
|Typical application scenarios||Hybrid Transactional-Analytical Processing (HTAP) requiring an operational database...|
|Key customers||banking/finance/fintech, telco, insurance, traveltech, M2M/IoT, retail|
|Market metrics||15 beta testers|
|Licensing and pricing models||annual fee covering license and support based on number of physical cores|
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