DBMS > Immudb vs. LeanXcale
System Properties Comparison Immudb vs. LeanXcale
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|Editorial information provided by DB-Engines|
|Name||Immudb Xexclude from comparison||LeanXcale Xexclude from comparison|
|Description||An open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.||A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities|
|Primary database model||Key-value store||Key-value store|
|Secondary database models||Relational DBMS|
|Current release||1.2.3, April 2022|
|License Commercial or Open Source||Open Source Apache Version 2.0||commercial|
|Cloud-based only Only available as a cloud service||no||no|
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|Server operating systems||BSD|
|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||SQL-like syntax||yes through Apache Derby|
|APIs and other access methods||gRPC protocol|
PostgreSQL wire protocol
proprietary key/value interface
|Supported programming languages||.Net|
|Server-side scripts Stored procedures||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes|
|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.||no||yes|
|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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