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DBMS > BigObject vs. H2 vs. LeanXcale vs. XTDB

System Properties Comparison BigObject vs. H2 vs. LeanXcale vs. XTDB

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonH2  Xexclude from comparisonLeanXcale  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSKey-value store
Relational DBMS
Document store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitebigobject.iowww.h2database.comwww.leanxcale.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.bigobject.iowww.h2database.com/­html/­main.htmlwww.xtdb.com/­docs
DeveloperBigObject, Inc.Thomas MuellerLeanXcaleJuxt Ltd.
Initial release2015200520152019
Current release2.2.220, July 20231.19, September 2021
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaClojure
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
All OS with a Java VMAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes, extensible-data-notation format
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes infothrough Apache Derbylimited SQL, making use of Apache Calcite
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
JDBC
ODBC
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
HTTP REST
JDBC
Supported programming languagesJavaC
Java
Scala
Clojure
Java
Server-side scripts infoStored proceduresLuaJava Stored Procedures and User-Defined Functionsno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standard

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