Search Results for "spark gap linux"
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Showing 18 open source projects for "spark gap linux"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
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Apache Kyuubi
Apache Kyuubi is a distributed and multi-tenant gateway
Apache Kyuubi™ is a distributed and multi-tenant gateway to provide serverless SQL on data warehouses and lakehouses. Kyuubi provides a pure SQL gateway through Thrift JDBC/ODBC interface for end-users to manipulate large-scale data with pre-programmed and extensible Spark SQL engines. This "out-of-the-box" model minimizes the barriers and costs for end-users to use Spark at the client side. At the server-side, Kyuubi server and engines' multi-tenant architecture provides the administrators... -
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Apache Iceberg
Apache Iceberg
Iceberg is a high-performance format for huge analytic tables. Iceberg brings the reliability and simplicity of SQL tables to big data while making it possible for engines like Spark, Trino, Flink, Presto, Hive, and Impala to safely work with the same tables, at the same time. The core Java library that tracks table snapshots and metadata is complete, but still evolving. Current work is focused on adding row-level deletes and upserts, and integration work with new engines like Flink and... -
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Apache Phoenix
Mirror of Apache Phoenix
Apache Phoenix is a SQL skin over HBase delivered as a client-embedded JDBC driver targeting low latency queries over HBase data. 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... -
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IoTDB
Apache IoTDB
Apache IoTDB (Database for Internet of Things) is an IoT native database with high performance for data management and analysis, deployable on the edge and the cloud. Due to its light-weight architecture, high performance and rich feature set together with its deep integration with Apache Hadoop, Spark and Flink, Apache IoTDB can meet the requirements of massive data storage, high-speed data ingestion and complex data analysis in the IoT industrial fields. In the scene of factories, there... -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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HugeGraph
A graph database that supports more than 100+ billion data
HugeGraph is a convenient, efficient, and adaptable graph database compatible with the Apache TinkerPop3 framework and the Gremlin query language. HugeGraph supports fast import performance in the case of more than 10 billion Vertices and Edges Graph, millisecond-level OLTP query capability, and can be integrated into big data platforms like Hadoop or Spark for OLAP analysis. The main scenarios of HugeGraph include correlation search, fraud detection, and knowledge graph. Not only supports... -
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MongoDB PHP Library
The Official MongoDB PHP library
The MongoDB PHP Library is the official high-level library that lets PHP applications interact with MongoDB using a modern, expressive API. It provides object-oriented classes for databases, collections, queries, and operations, so PHP developers can compose CRUD and aggregation pipelines without writing low-level protocol code. Built on top of the underlying MongoDB PHP extension, the library handles serialization, connection pooling, and error handling in a way that feels natural in... -
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GraphQLmap
GraphQLmap is a scripting engine to interact with endpoints
GraphQLmap is a Python-based scripting engine designed to interact with GraphQL endpoints for penetration testing purposes. It can connect to a target GraphQL endpoint, dump the schema (if introspection is enabled), query it interactively, and fuzz fields for NoSQL/SQL injection vectors, thereby revealing hidden attack surfaces. GraphQL endpoints represent a relatively newer attack vector compared to REST, and GraphQLmap helps bridge this gap by providing tooling tailored to the GraphQL... -
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SnappyData
Memory optimized analytics database, based on Apache Spark
SnappyData (aka TIBCO ComputeDB) is a distributed, in-memory optimized analytics database. SnappyData delivers high throughput, low latency, and high concurrency for a unified analytics workload. By fusing an in-memory hybrid database inside Apache Spark, it provides analytic query processing, mutability/transactions, access to virtually all big data sources and stream processing all in one unified cluster. One common use case for SnappyData is to provide analytics at interactive speeds over... -
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Open Source Data Quality and Profiling
World's first open source data quality & data preparation project
This project is dedicated to open source data quality and data preparation solutions. Data Quality includes profiling, filtering, governance, similarity check, data enrichment alteration, real time alerting, basket analysis, bubble chart Warehouse validation, single customer view etc. defined by Strategy. This tool is developing high performance integrated data management platform which will seamlessly do Data Integration, Data Profiling, Data Quality, Data Preparation, Dummy Data... -
Forever Free Full-Stack Observability | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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Cosmos DB Spark
Apache Spark Connector for Azure Cosmos DB
Azure Cosmos DB Spark is the official connector for Azure CosmosDB and Apache Spark. The connector allows you to easily read to and write from Azure Cosmos DB via Apache Spark DataFrames in Python and Scala. It also allows you to easily create a lambda architecture for batch-processing, stream-processing, and a serving layer while being globally replicated and minimizing the latency involved in working with big data. -
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schemats
Generate typescript interface definitions from SQL database schema
Schemats is a TypeScript code generator that creates type definitions from existing PostgreSQL schemas. It helps developers working with raw SQL or query builders to maintain strong typing and avoid runtime errors. By analyzing database schemas, Schemats bridges the gap between relational databases and TypeScript-based applications. -
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Adele
Adhoc Data Exploration - Live & Easy
Adele was developed to simplify the daily work with data. Use it as a swiss knife to fill the gap between your work with spreadsheet application like MS Excel and enterprise servers like SAP ERP. Specialized tools like Rapid Miner, KNIME or similiary stuff should not be replaced. But Adele is designed for business people working with spreadsheet applications to analyse their data. There are many technical concepts in an easier way included. -
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In the Oracle database there are two PL/SQL APIs to send mails: UTL_SMTP and UTL_MAIL. But there is no package which is able to retrieve messages from a mailbox on a server. The here provided package MAIL_CLIENT closes this gap.
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Apache PredictionIO
Machine learning server for developers and ML engineers
Apache PredictionIO® is an open source Machine Learning Server built on top of a state-of-the-art open source stack for developers and data scientists to create predictive engines for any machine learning task. Quickly build and deploy an engine as a web service on production with customizable templates; respond to dynamic queries in real-time once deployed as a web service; evaluate and tune multiple engine variants systematically; unify data from multiple platforms in batch or in real-time... -
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HBase - Hannibal
Monitor and maintain HBase configured for manual splitting
Hannibal is a tool to help monitor and maintain HBase-Clusters that are configured for manual splitting. While HBase provides metrics to monitor overall cluster health via JMX or Ganglia, it lacks the ability to monitor single regions in an easy way. This information is essential when your cluster is configured for manual splits, especially when the data growth is not uniform. This tool tries to fill that gap by answering the following questions: How well are regions balanced over... -
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Big Sack
Big Sack: A lightweight Java Key/Value store with undo and disk cache.
Big Sack is a Java persistence mechanism that allows storage of key value pairs following the popular Big Data paradigms. Its a very simple and straightforward way to bridge the gap between in-memory data structures and long-term storage. It has the convenience of Java SDK TreeMap and TreeSet classes and is used the same easy way, but it includes rollback through undo logging to checkpoint data so it does not wind up in an unknown state regardless of failures. Data storage in the exabyte... -
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If you work with databases, then you know there are not always good tools for simply working with them... This tool should fill that gap...
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DBDOM bridges the gap between XML and relational databases. DBDOM is an implementation of the World-Wide Web Consortium's (W3C) Document Object Model in SQL. DBDOM turns any RDBMS into an XML application server.
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