Search Results for "compute"
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Showing 10 open source projects for "compute"
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Try Google Cloud Risk-Free With $300 in CreditUse your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
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Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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PolarDB for PostgreSQL
A cloud-native database based on PostgreSQL developed by Alibaba Cloud
PolarDB for PostgreSQL is Alibaba Cloud's cloud-native, distributed version of PostgreSQL designed for high availability, scalability, and performance. It enhances standard PostgreSQL with features like shared storage, compute-storage separation, and parallel processing. PolarDB supports cloud-native workloads, offering enterprise-grade capabilities while maintaining PostgreSQL compatibility. -
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TimescaleDB
An open-source time-series SQL database optimized for fast ingest
...Simplify your stack, ask more complex questions, and build more powerful applications. Don’t break the bank. 94-97% compression rates from best-in-class algorithms. Downsample + retention policies. Decouple compute and storage. You’re in trusted hands. Fully-managed TimescaleDB on AWS, Azure, or GCP in just one click. Top-rated support and ops available 24/7 worldwide. A modern, cloud-native relational database platform for time-series data based on TimescaleDB and PostgreSQL. -
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Neon Database
Neon: Serverless Postgres. We separated storage and compute
The database you love, on a serverless platform designed to help you build reliable and scalable applications faster. Focus on building applications with time and money-saving features like instant provisioning, autoscaling according to load, and scale to zero. Instantly branch your data and schema to access isolated DB copies for development, CI/CD, and schema migrations with copy-on-write storage. Integrate it into your language or framework within minutes and unlock a simpler developer... -
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Tarantool
Get your data in RAM, get compute close to data, enjoy the performance
In OLTP scenarios, Tarantool can be used instead of relational databases. Such a solution will work many times faster. With Tarantool, you can replace the traditional bundle of database & cache and reduce operational costs. Tarantool is tolerant of write-heavy loads. It also allows keeping full-featured applications close to the data, thus reducing data access network latency to zero. The open-source Community Edition lets you develop applications and speed up a system in operation. It... -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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MatrixOne
Hyperconverged cloud-edge native database
...MatrixOne introduces a global, high-performance distributed transaction protocol across storage engines. Seamless and non-disruptive scaling by disaggregated storage and compute. -
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Dragonfly
A modern replacement for Redis and Memcached
...Dragonfly is optimized for modern cloud computing, delivering 25x more throughput and 12x lower snapshotting latency when compared to legacy in-memory data stores like Redis, making it easy to deliver the real-time experience your customers expect. Scaling Redis workloads is expensive due to their inefficient, single-threaded model. Dragonfly is far more compute and memory efficient, resulting in up to 80% lower infrastructure costs. Dragonfly scales vertically first, only requiring clustering at an extremely high scale. This results in a far simpler operational model and a more reliable system. -
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LinDB
LinDB is a scalable, high performance, high availability database
...Horizontal scalable is made simple by adding more new broker and storage nodes without too much thinking and manual operations. And the tags-based sharding strategy resolves the hotspot problem. LinDB is designed to work under a Multi-Active IDCs cloud architecture. The compute layer of LinDB, called brokers, supports efficient Multi-IDCs aggregation query. -
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SuperDuperDB
Integrate, train and manage any AI models and APIs with your database
Build and manage AI applications easily without needing to move your data to complex pipelines and specialized vector databases. Integrate AI and vector search directly with your database including real-time inference and model training. Just using Python. A single scalable deployment of all your AI models and APIs which is automatically kept up-to-date as new data is processed immediately. No need to introduce an additional database and duplicate your data to use vector search and build on... -
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PL/SQL packages to perform Oracle 11g tasks within a very few number of lines : dump/load LOBs, compute CRC, get Mime Type from a BLOB, send XMPP messages, list directory contents as a table, interact with Twitter,deal with QrCodes, ...
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Manage the place of interests-hotels-restaurant archive for a travel agency that sells custom developed tours and then let you build the tour, computing costs, print description, compute revenues.
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