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DBMS > Axibase vs. Databricks vs. H2 vs. Transwarp StellarDB

System Properties Comparison Axibase vs. Databricks vs. H2 vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonDatabricks  Xexclude from comparisonH2  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A distributed graph DBMS built for enterprise-level graph applications
Primary database modelTime Series DBMSDocument store
Relational DBMS
Relational DBMSGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#282  Overall
#25  Time Series DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.07
Rank#371  Overall
#39  Graph DBMS
Websiteaxibase.com/­docs/­atsd/­financewww.databricks.comwww.h2database.comwww.transwarp.cn/­en/­product/­stellardb
Technical documentationdocs.databricks.comwww.h2database.com/­html/­main.html
DeveloperAxibase CorporationDatabricksThomas MuellerTranswarp
Initial release201320132005
Current release155852.2.220, July 2023
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinuxhostedAll OS with a Java VM
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyes
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.noyesno
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL-like query languagewith Databricks SQLyesSQL-like query language
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
OpenCypher
Supported programming languagesGo
Java
PHP
Python
R
Ruby
Python
R
Scala
Java
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesJava Stored Procedures and User-Defined Functions
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesWith clustering: 2 database servers on different computers operate on identical copies of a database
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes
More information provided by the system vendor
AxibaseDatabricksH2Transwarp StellarDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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AxibaseDatabricksH2Transwarp StellarDB
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