Search Results for "schema"
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Showing 332 open source projects for "schema"
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1
Schema Spy
SchemaSpy code home
...When you environment will be ready, and you can start using SchemaSpy you can read more about the configuration. Browse some sample pages generated by SchemaSpy. Note that this was run against an extremely limited schema so it doesn't show the full power of the tool. -
2
JSON Schema Validator
A fast Java JSON schema validator that supports draft V4, V6, V7, V201
This is a Java implementation of the JSON Schema Core Draft v4, v6, v7, v2019-09 and v2020-12(partial) specification for JSON schema validation. In addition, it also works for OpenAPI 3.0 request/response validation with some configuration flags. For users who want to collect information from a JSON node based on the schema, the walkers can help. The default JSON parser is the Jackson which is the most popular one. -
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SchemaCrawler
Free database schema discovery and comprehension tool
SchemaCrawler is a free database schema discovery and comprehension tool. SchemaCrawler has a good mix of useful features for data governance. You can search for database schema objects using regular expressions, and output the schema and data in a readable text format. The output serves for database documentation, and is designed to be diff-ed against other database schemas. -
4
GraphQL Java
GraphQL Java implementation
...One very important property of GraphQL is that it is statically typed: the server knows exactly the shape of every object you can query and any client can actually "introspect" the server and ask for the "schema". The schema describes what queries are possible and what fields you can get back. (Note: when we refer to schema here, we always refer to a "GraphQL Schema", which is not related to other schemas like "JSON Schema" or "Database Schema") GraphQL Java is the Java (server) implementation for GraphQL. There are several repositories in the GraphQL Java Github org. ... -
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5
Liquibase
Main Liquibase Source
Liquibase Community is an open source project that helps millions of developers rapidly manage database schema changes. Liquibase helps millions of teams track, version, and deploy database schema changes. Control database schema changes for specific versions. Eliminate errors and delays when releasing databases. Automatically order scripts for deployment. Easily rollback changes. Collaborate with tools you already use. Liquibase Core works with the following databases: Apache Derby, CockroachDB, Firebird, H2, HSQL, Informix, InterBase, MariaDB, MSSQL, MySQL, Oracle, PostgreSQL, SQLite, Sybase Anywhere, Sybase Enterprise. ... -
6
ConcourseDB
Distributed database warehouse for transactions, search and analytics
ConcourseDB is a distributed, self-tuning database designed for real-time applications, offering strong consistency and ACID compliance without requiring complex configurations. It provides dynamic schema support and automatic indexing. -
7
Apache Avro
Apache Avro is a data serialization system
...If the program reading the data expects a different schema this can be easily resolved, since both schemas are present. -
8
Flyway
Database migrations made easy
Robust schema evolution across all your environments, with ease, pleasure, and plain SQL. Version control for your database, so you can migrate it with ease and confidence. Flyway lets you regain control of your migrations with ease. Flyway migrates your database, so you don't have to worry about it. Releases have never been this easy. Migrate from any version (including an empty database) to the latest version of the schema. -
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AKHQ
Kafka GUI for Apache Kafka to manage topics, topics data, etc.
...Allowing to manage your topics, consumer groups, cluster configurations, users and ACLs. Compatibility with LDAP, RBAC, Schema Registry, Kafka Connect and more. -
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Mongock
Lightweight Java based migration tool
Mongock is a Java-based database migration tool specifically designed for MongoDB, enabling version-controlled schema changes in a safe and efficient manner. -
11
DataHub
The Metadata Platform for your Data and AI Stack
...The platform focuses on continuous metadata ingestion from many sources, treating metadata as a stream that stays fresh as systems change. A modern web UI and search layer make it easy for analysts, engineers, and stewards to find assets, read documentation, and see context such as usage, schema history, and downstream impacts. Governance features such as glossaries, tags, ownership, and policies bring order and accountability without blocking day-to-day work. APIs and SDKs enable teams to integrate DataHub into catalogs, CI pipelines, and automation so metadata becomes part of the development lifecycle rather than an afterthought. -
12
Datahike
A durable Datalog implementation adaptable for distribution
...We are building on the two projects and the storage backends for the hitchhiker-tree through konserve. We would like to hear experience reports and are happy if you join us. We provide a small stable API for the JVM at the moment, but the on-disk schema is not fixed yet. We will provide a migration guide until we have reached a stable on-disk schema. Take a look at the ChangeLog before upgrading. -
13
Datalevin
A simple, fast and versatile Datalog database
Datalevin is an open-source Datalog-based database written in Clojure that runs natively on top of LMDB. It supports full ACID transactions, schema-less EDN data storage, vector search with SIMD acceleration, and text-based querying. Usable as an embedded library or as a client/server database with RBAC access, it acts like SQLite or Datomic on a ledger of immutable datoms, plus modern features like vector and full-text search. -
14
LakeSoul
An end-to-end, realtime and cloud native Lakehouse framework
LakeSoul is a high-performance, unified table storage framework for big data lakes, supporting both streaming and batch data in a single format. Built on top of Apache Spark and leveraging Apache Arrow and Parquet, LakeSoul provides ACID transactions, schema evolution, and time travel. It is designed for large-scale data lake architectures that require consistency, efficiency, and easy integration with modern data stacks. -
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OrientDB
DBMS supporting graph, document, full-text and geospatial models
...It's written in Java and it's amazingly fast. No expensive run-time JOINs, connections are managed as persistent pointers between records. You can traverse thousands of records in no time. Supports schema-less, schema-full and schema-mixed modes. Has a strong security profiling system based on user, roles and predicate security and supports SQL amongst the query languages. Thanks to the SQL layer it's straightforward to use for people skilled in the Relational world. OrientDB adheres to the NoSQL movement even though it supports ACID Transactions and SQL as query language. ... -
16
XTDB
General-purpose bitemporal database for SQL, Datalog & graph queries
...Explore all your data. Across all implicit relationships, across all time. As a document-oriented database, XTDB makes your data immediately available without the need for an upfront schema. Both structured and unstructured data are at home in XTDB. Legal regulations like GDPR often pose a challenge when designing systems around immutable data. -
17
Spring Data REST
Simplifies building hypermedia-driven REST web services
...Exposes dedicated search resources for query methods defined in your repositories. Allows to hook into the handling of REST requests by handling Spring ApplicationEvents. Exposes metadata about the model discovered as ALPS and JSON Schema. Allows to define client specific representations through projections. Ships a customized variant of the HAL Explorer to leverage the exposed metadata. -
18
GraphQL Manifold
Manifold is a Java compiler plugin, features include Metaprogramming
Manifold is a Java compiler plugin. It supplements Java with direct, type-safe access to GraphQL, JSON & JSON Schema, YAML, XML, CSV, JavaScript, etc. All fully supported in JDK LTS releases 8 - 19 + latest with comprehensive IDE support in IntelliJ IDEA and Android Studio. Manifold consists of a set of modules, one for each feature. Simply add the Manifold dependencies of your choosing to your existing project and begin taking advantage of them. -
19
jsonschema2pojo
Generate Java types from JSON or JSON Schema for data-binding
Generate plain old Java objects from JSON or JSON-Schema. For each property present in the 'properties' definition, we add a property to a given Java class according to the JavaBeans spec. A private field is added to the parent class, along with accompanying accessor methods (getter and setter). If additionalProperties is specified and set to the boolean value false, then the generated Java type does not support additional properties. -
20
Redshift JDBC Driver
Redshift JDBC Driver. It supports JDBC 4.2 specification
The Amazon JDBC Driver for Redshift is a Type 4 JDBC driver that provides database connectivity through the standard JDBC application program interfaces (APIs) available in the Java Platform, Enterprise Editions. The Driver provides access to Redshift from any Java application, application server, or Java-enabled applet. It builds redshift-jdbc42-{version}.jar and redshift-jdbc42-{version}.zip files under target directory. The jar file is the Redshift JDBC driver.The zip file contains the... -
21
QuestDB
An open source SQL database designed to process time series data
QuestDB is a high-performance, open-source SQL database for applications in financial services, IoT, machine learning, DevOps and observability. It includes endpoints for PostgreSQL wire protocol, high-throughput schema-agnostic ingestion using InfluxDB Line Protocol, and a REST API for queries, bulk imports, and exports. QuestDB implements ANSI SQL with native extensions for time-oriented language features. These extensions make it simple to correlate data from multiple sources using relational and time series joins. QuestDB achieves high performance from a column-oriented storage model, massively-parallelized vector execution, SIMD instructions, and various low-latency techniques. ... -
22
tigerbeetle
The financial transactions database designed for mission critical safe
...This solves the problem of OLTP write contention to unlock three orders of magnitude more performance than a general purpose (OLGP) database. The language of business transactions around the world is Debit/Credit. TigerBeetle ships with this schema out of the box. A single TigerBeetle cluster can process over 100 billion transactions, at a hundredth of the cost compared to legacy, proprietary, or cloud databases. -
23
Apache Drill
Apache Drill is a distributed MPP query layer for self describing data
Apache Drill is a distributed MPP query layer that supports SQL and alternative query languages against NoSQL and Hadoop data storage systems. It was inspired in part by Google's Dremel. Get faster insights without the overhead (data loading, schema creation and maintenance, transformations, etc.) Analyze the multi-structured and nested data in non-relational datastores directly without transforming or restricting the data. Leverage your existing SQL skillsets and BI tools including Tableau, Qlikview, MicroStrategy, Spotfire, Excel and more. Drill supports a variety of NoSQL databases and file systems, including HBase, MongoDB, MapR-DB, HDFS, MapR-FS, Amazon S3, Azure Blob Storage, Google Cloud Storage, Swift, NAS and local files. ... -
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Jailer Database Tool
Database subsetting and relational data browsing tool
Jailer is a tool for database subsetting, schema and data browsing. It creates small slices from your database and lets you navigate through your database following the relationships. Ideal for creating small samples of test data or for local problem analysis with relevant production data. Creates small slices from your productive database and imports the data into your development and test environment (consistent and referentially intact). -
25
Apache Phoenix
Mirror of Apache Phoenix
...Apache Phoenix enables OLTP and operational analytics in Hadoop for low latency applications by combining the best of both worlds. The power of standard SQL and JDBC APIs with full ACID transaction capabilities and the flexibility of late-bound, schema-on-read capabilities from the NoSQL world by leveraging HBase as its backing store. Apache Phoenix is fully integrated with other Hadoop products such as Spark, Hive, Pig, Flume, and Map Reduce. Become the trusted data platform for OLTP and operational analytics for Hadoop through well-defined, industry-standard APIs. Apache Phoenix takes your SQL query, compiles it into a series of HBase scans, and orchestrates the running of those scans to produce regular JDBC result sets. ...