Alternatives to Yandex Managed Service for Apache Kafka

We'll handle all database maintenance for you: software backups and monitoring, fault tolerance and updates. ClickHouse can handle large amounts of data quickly and efficiently, while column-based data storage is space-saving due to its strong data compression. All DBMS connections use the TLS protocol. Data is protected in accordance with local regulatory requirements, GDPR and ISO industry standards. You can visualize the data structure of your ClickHouse cluster, and you can send SQL queries directly from the management console. The service provides data replication among database hosts (both within and between availability zone) and switches over automatically to a backup copy in the event of failure.

RavenDB is a pioneering NoSQL Document Database. It is fully transactional (ACID across your database and within your cluster). Our open-source distributed database has high availability and high performance, with minimal administration. It is an all-in-one database that is easy to use. This reduces the need to add on tools or support for developers to increase developer productivity and speed up your project's production. In minutes, you can create and secure a data cluster and deploy it in the cloud, on-premise, or in a hybrid environment. RavenDB offers a Database as a Service, which allows you to delegate all database operations to us, so you can concentrate on your application. RavenDB's built-in storage engine Voron can perform at speeds of up to 1,000,000 reads per second and 150,000 write per second on a single node. This allows you to improve your application's performance by using simple commodity hardware.

High-speed, data-intensive apps that meet all performance requirements can be built. Apache Geode's unique technology combines advanced techniques for data replication and partitioning with distributed processing. Apache Geode offers a database-like consistency model, reliable transactions processing, and a shared nothing architecture to maintain very low latency with high concurrency. Data can be easily partitioned (sharded), or replicated among nodes, allowing for performance scaling as required. Reliable in-memory copies are used to ensure durability. Disk-based persistence is also used to ensure longevity. Super fast write-ahead log (WAL) persistence that uses a shared-nothing architecture optimized for parallel recovery of nodes and entire clusters.

Subscribe to Elasticsearch and get access to new features, security patches, or other improvements. In just a few moments, you can deploy a cluster that is ready to use. Elasticsearch and Kibana settings are optimized to fit the cluster size that you have selected. We'll handle cluster maintenance, software updates, monitoring, backups, fault tolerance and updates. Index sharding reduces load on each host, and makes it easier to scale a cluster during peak loads. Visualizing system behavior makes it easier to build an infrastructure. Create trends, forecasts, and evaluate stability of the system in an easy-to-use interface. Select the number of hosts, and specify availability zones to create fault-tolerant geodistributed Elasticsearch clusters. Create an Elasticsearch cluster by selecting the computing capacity you need.

The Leading Distributed SQL Database with High Performance. Open source, cloud native relational DB that powers global, internet-scale applications. Single-Digit Millisecond latency Create lightning fast cloud applications by serving queries directly to the DB. Massive Scale You can achieve millions of transactions per second and store multiple TTB's of data per Node. Geo-Distribution You can deploy across regions and clouds using synchronous or multimaster replication. Cloud Native Architectures. YugabyteDB makes it easy to develop, deploy, and operate modern applications faster than ever. Develop developer agility. Leverage full power of PostgreSQL-compatible SQL and distributed ACID transactions. Operate resilient services. Ensure continuous availability, even when the underlying storage, compute, or network fails. Scale On-Demand. You can add or remove nodes as you wish. Over-provisioned clusters are not a good idea. Lower User Latency.

Apache Kafka is a fully managed service that offers zero vendor lock-in, as well as all the capabilities you need to build your streaming infrastructure. You can easily set up fully managed Kafka within 10 minutes using our web console, or programmatically through our API, CLI or Terraform provider. Connect it to your existing tech stack using over 30 connectors. You can feel confident in your setup thanks to the service integrations that provide logs and metrics. Fully managed distributed data streaming platform that can be deployed in any cloud. Event-driven applications, near real-time data transfer and pipelines and stream analytics are all possible uses for this platform. Aiven's Apache Kafka is hosted and managed for you. You can create clusters, migrate clouds, upgrade versions, and deploy new nodes all with a single click. All this and more through a simple dashboard.

In just a few moments, you can deploy a cluster that is ready to use and set up automatic backups. We'll handle database maintenance for you: software backups and monitoring, fault tolerance and updates. Managed Service for MySQL® allows you to easily create read replicas, and build custom replication topologies. Data is encrypted in compliance with local regulatory requirements, GDPR and ISO standards. Monitor your cluster status, resource consumption and export resource metrics using the management console.

The Apache Cassandra database provides high availability and scalability without compromising performance. It is the ideal platform for mission-critical data because it offers linear scalability and demonstrated fault-tolerance with commodity hardware and cloud infrastructure. Cassandra's ability to replicate across multiple datacenters is first-in-class. This provides lower latency for your users, and the peace-of-mind that you can withstand regional outages.

Apache Ignite is an enterprise-grade platform that offers in-memory speed, massive scalability and real-time access across datastores. You can upgrade from Ignite or GridGain without any code changes and deploy your clusters securely on a global scale with zero downtime. Rolling upgrades can be performed on your production clusters without affecting application availability. To load balance workloads and prevent outages in regional areas, replicate across globally distributed data centres. You can protect your data in motion and at rest, and comply with security and privacy standards. Integrate with your organization's authorization and authentication system. Allow full data and user activity auditing. Automated schedules can be created for incremental and full backups. With snapshots and point in time recovery, restore your cluster to its last stable state.

Redis for Windows alternative, In Memory Datastore Ready for the most challenging production workloads. Free for testing and development. Redis-compatibility. Memurai's core is based on Redis source code and port to Windows natively. Memurai supports all features that make Redis one of the most popular NoSQL databases, including persistence, replication, transactions and LRU eviction. Redis has many libraries and tools that have been carefully tested to ensure compatibility. You can even replicate data between Memurai or Redis, or both within the same cluster. Integration with Windows infrastructure and workflows is seamless. Memurai seamlessly integrates into Windows best practices, tools, and workflows, regardless of whether it's being used for production or development. Teams of engineers with existing investments in Windows infrastructure will be eligible for this program.

Altinity's engineering team is able to implement everything, from core ClickHouse features to Kubernetes operation behavior to client library improvement. ClickHouse's GUI manager is a flexible docker-based GUI that can do the following: Monitor cluster status; Install ClickHouse clusters; Add and delete nodes; Monitor cluster status. Help with troubleshooting. Software integrations and third-party tools: Ingest: Kafka and ClickTail; APIs : Python, Golang and ODBC; Java; Kubernetes. UI tools: Grafana and Superset. Tabix. Graphite. Databases: MySQL and PostgreSQL. BI tools: Tableau.

Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora is five times faster that standard MySQL databases and three time faster than standard PostgreSQL database. It offers the same security, availability, reliability, and cost-effectiveness as commercial databases, but at a fraction of the cost. Amazon Aurora is fully managed and maintained by Amazon Relational Database Service, (RDS). This automates tedious administration tasks such as hardware provisioning, database setup, patching and backups. Amazon Aurora is a distributed, fault-tolerant and self-healing storage that auto-scales up 64TB per database instance. It offers high availability and performance with up to 15 low latency read replicas, point in time recovery, continuous backup to Amazon S3, replication across threeAvailability Zones, and continuous backup to Amazon S3.

Easy deployment of a high-availability solution for disaster recovery, failover within and between cloud regions with zero downtime during maintenance. Multiple master databases distributed across multiple locations can improve performance and availability. Keep local data local, and control which tables will be globally replicated and which will remain local. Support higher throughput if workloads threaten to exceed the available compute capacity. pgEdge platform is available on-premises, or through self-managed cloud provider accounts. Supports a wide range of OS and hardware combinations. Enterprise-class support available. Edge Platform nodes that are self-hosted can be used as part of a Postgres cluster in pgEdge cloud.

Google Cloud Bigtable provides a fully managed, scalable NoSQL data service that can handle large operational and analytical workloads. Cloud Bigtable is fast and performant. It's the storage engine that grows with your data, from your first gigabyte up to a petabyte-scale for low latency applications and high-throughput data analysis. Seamless scaling and replicating: You can start with one cluster node and scale up to hundreds of nodes to support peak demand. Replication adds high availability and workload isolation to live-serving apps. Integrated and simple: Fully managed service that easily integrates with big data tools such as Dataflow, Hadoop, and Dataproc. Development teams will find it easy to get started with the support for the open-source HBase API standard.

CUBRID is a relational DBMS optimized for online transaction processing (OLTP) that complies with ANSI SQL standards and provides MVCC support, High-Availability (HA) capabilities, and GUI-based tools for DB management/migration. It also provides Oracle/MySQL compatibility and supports a variety of interfaces, including JDBC. * [Major RDBMS Features]: - ANSI SQL standard and support extended SQL syntaxes - Support VIEW/TRIGGER/PRIMARY KEY/FOREIGN KEY/SERIAL - Support Stored Procedure/Function - Seamless transactions: COMMIT/ROLLBACK/SAVEPOINT - Support automatic recovery in the event of failure CUBRID consists of a 3-tier structure of applications/interfaces, brokers, and servers, and the flexibility to build systems is ideal for data-intensive online transaction processing (OLTP) services. CUBRID provides ease of installation and native GUI-based administration tools for developers' convenience. Multi-threaded, multi-server architecture, native broker middleware, cost-based optimizer, and intensive caching techniques for your OLTP services. Very accurate predictable automatic fail-over built-in technology, based on the CUBRID Heartbeat native engine core.

Tungsten Clustering is the only fully-integrated, fully-tested, fully-tested MySQL HA/DR and geo-clustering system that can be used on-premises or in the cloud. It also offers industry-leading, fastest, 24/7 support for Percona Server, MariaDB and MySQL applications that are business-critical. It allows businesses that use business-critical MySQL databases to achieve cost-effective global operations with commercial-grade high availabilty (HA), geographically redundant disaster relief (DR), and geographically distributed multimaster. Tungsten Clustering consists of four core components: data replication, cluster management, and cluster monitoring. Together, they handle all of the messaging and control of your Tungsten MySQL clusters in a seamlessly-orchestrated fashion.

Serverless computing is perfect for systems with unpredictable load. Storage scaling, query execution and backup layers are all fully automated. The compatibility of AWS SDKs in serverless mode allows for Java, JavaScript Node.js.NET PHP Python Ruby. YDB is hosted across three availability zones to ensure availability, even if a zone or node goes offline. The system will automatically recover and continue working if equipment or data centers fail. YDB can handle hundreds of thousands transactions per second and has low latency. The system was designed for hundreds of petabytes.

A service to manage OpenSearch clusters within Yandex Cloud Infrastructure. Use this popular open-source solution to integrate fast and scalable search into your product. In just a few moments, you can deploy a cluster that is ready to use with product settings optimized for the cluster size. We will take care of all cluster maintenance, including reserves, monitoring and fault tolerance. Use our visualization tools for analytical dashboards, application monitors, and alert systems. Connect third-party authentication services (SAML). The service allows for granular configurations of data access levels. Open source code allows for us to develop with the community and be the first to release timely updates. OpenSearch is a system of open-source search and analytic tools that can be easily scaled. It provides a set technologies for fast search and analytics.

YDB will maintain the state of your application, no matter how large or frequent its modifications. It is no problem to handle petabytes and millions of transactions every second. Create analytical reports based upon data stored in YDB, with performance comparable to database systems built specifically for this use. Consistency and availability cannot be compromised. Use the YDB Topics feature to reliably transmit data between your applications, or consume change data captured from regular tables. You can choose between exactly-once and at least-once semantics. YDB has been designed to work with three availability zones. This ensures availability even if all of the availability zones go offline. It recovers automatically from a disk, data center, or server failure with minimal latency disruptions to applications.

Access to the latest MongoDB features, including official releases that are compatible with your platform. You can easily add more servers to your cluster if the load increases. We'll handle database maintenance for you: software backups and monitoring, fault tolerance and updates. Clusters with MongoDB versions 4.0 and higher can enable sharding. You can also configure and add individual shards in order to improve cluster performance. All DBMS connections use the TLS protocol and DB backups GPG encrypted. Data is protected in accordance with local regulatory, GDPR and ISO standards. MongoDB does not have regular tables, but instead stores data in collections of JSON documents. This is ideal for projects in which data structures may change as the project develops.

HerdDB is a Java-based SQL distributed database. It can be embedded in any Java Virtual Machine. It is optimized for quick "writes" as well as primary key read/update access patterns. HerdDB can manage hundreds of tables. It is easy to add or remove hosts, and to reconfigure tablesspaces to distribute the load across multiple systems. HerdDB uses Apache Zookeeper and Apache Bookkeeper, to create a fully replicated, shared no-one architecture that is fault-free. HerdDB is very similar at the low level to a key-value NoSQL data base. An SQL abstraction layer and JDBC driver support allow users to leverage their existing knowledge and port existing applications into HerdDB. EmailSuccess is a powerful MTA (Mail Transfer Agent) that delivers millions of emails per hour to all over the globe. It was developed by Diennea.

Webair provides Database-as-a-Service (DBaaS), a reliable and secure database management solution that gives your business simple, efficient and always available access to its mission-critical data. Our team has extensive experience in managing the configuration, administration, and optimization of database clusters. This includes business-critical, load-balanced, replicated, and distributed MySQL clusters. Webair's Database Administrators can help you create a high-performance environment for your database. We work closely with you to create the best solution. We match the best infrastructure to the most appropriate database configuration to meet your specific requirements. Your business can be freed from routine database tasks like performance monitoring, configuration, memory and storage, log file management, sizing and service pack upgrades, and patching. You can focus on the more important aspects of your business, such as managing critical data within your database.

*GraphDB allows the creation of large knowledge graphs by linking diverse data and indexing it for semantic search. * GraphDB is a robust and efficient graph database that supports RDF and SPARQL. The GraphDB database supports a highly accessible replication cluster. This has been demonstrated in a variety of enterprise use cases that required resilience for data loading and query answering. Visit the GraphDB product page for a quick overview and a link to download the latest releases. GraphDB uses RDF4J to store and query data. It also supports a wide range of query languages (e.g. SPARQL and SeRQL), and RDF syntaxes such as RDF/XML and Turtle.

A streaming database is designed to store, process, analyze, and ingest large data streams. It is a modern data infrastructure which unifies messaging, stream processing and storage to help you get the most out of your data in real time. Massive amounts of data are continuously ingested from many sources, including IoT device sensor sensors. A specially designed distributed streaming data storage cluster can store millions of data streams securely. Subscribe to HStreamDB topics to access data streams in real time as fast as Kafka. You can access and playback data streams at any time thanks to the permanent stream storage. Data streams can be processed based on event-time using the same SQL syntax that you use to query relational databases. SQL can be used to filter, transform and aggregate multiple data streams.

Tibero has implemented a unique Tibero Thread Architecture to address the disadvantages of previous DBMSs. As a result, Tibero can make efficient use of system resources, such as CPU and memory, with fewer server processes. This ensures that Tibero offers high performance, reliability, and scalability, while facilitating efficient development and administration functions. Additionally, it provides users and developers with various standard development interfaces for easy integration with other DBMSs and 3rd party tools. In addition, Tibero adopts the block transfer technology to improve TAC, the shared database clustering which is similar to Oracle RAC. Through the enhanced function, Tibero supports performance optimization with self-tuning, reliable database monitoring, and performance management.

Oracle Big Data SQL Cloud Service allows organizations to instantly analyze data across Apache Hadoop and NoSQL. This service leverages their existing SQL skills, security policy, and applications with extreme speed. Big Data SQL allows you to simplify data science and unlock data lakes. Big Data SQL provides users with a single place to store and secure data in Hadoop, NoSQL systems, and Oracle Database. Seamless metadata integration, and queries that combine data from Oracle Database and Hadoop and NoSQL database data. Automated mappings can be done from metadata stored in HCatalog or the Hive Metastore to Oracle Tables using utility and conversion routines. Administrators have the ability to set enhanced access parameters that allow them to control data access behavior and column mapping. Multiple cluster support allows one Oracle Database to query multiple Hadoop clusters or NoSQL systems.

Machbase is a time-series database that stores, analyzes, and displays a lot sensor data from different facilities in real time. It is the only DBMS that can process big data at high speed. Machbase's incredible speed is amazing! It is the most innovative product to enable real-time processing, storage and analysis of sensor data. DBMS embedded in Edge devices allows for high speed storage and inquiry of sensor data. DBMS running on a single server provides the best data storage and extraction performance. Multi-node cluster configuration with the benefits of availability and scaleability. Edge computing is a complete management solution for device, connectivity, and data.

PeerDB is the fastest, easiest, and most cost-effective solution to replicate data between Postgres and data warehouses, queues and storage. Designed to scale at any size and tailored for data stores. PeerDB replays the schema messages using replication messages from Postgres replication slots. Alerts for slot expansion and connections. Native support for Postgres toast columns and large JSONB for IoT. Optimized query designs to reduce warehouse costs. Especially useful for Snowflake or BigQuery. Support for partitioned table via both publish. Transaction snapshotting and CTID scanning provide a consistent and fast initial load. High-availability with autoscaling, advanced logs, metrics, dashboards and monitoring dashboards.

IBM Db2 Events Store is a cloud-native database that can handle large amounts of structured data stored in Apache Parquet format. This high-speed data store is optimized for event-driven data processing. It can store, analyze, and store more that 250 billion events per day. The data store can be adapted quickly to meet changing business requirements. These data stores can be created in your Cloud Pak For Data cluster using the Db2 Events Store service. This allows you to manage the data and perform more detailed analysis. It is necessary to quickly ingest large amounts streaming data (upto one million inserts per minute per node) and use it to perform real-time analytics with integrated machine-learning capabilities. Analyze the incoming data from medical devices in real-time to improve patient health and reduce costs for storage.

Robust schema evolution in all environments. With ease, pleasure, or plain SQL. Version control allows you to migrate your database with confidence and ease. Flyway allows you to easily regain control over your migrations. Flyway will migrate your database so you don’t have to worry. This has never been easier to release. Plain SQL scripts (including placeholder substitution). No lock-in, no proprietary XML formats. Java-based migrations are available for advanced data transformations, handling with LOBs, and more. All you need to get started is Java 7+, your Jdbc driver, and you're good! Filesystem and classpath scanning are used to automatically detect SQL and Java migrations. Safe for cluster environments. Multiple machines can migrate simultaneously. The API allows you to ship multiple migrations together and have them run automatically at startup. App cannot start if there is an inconsistency in the database or a failed migration.

Azure Managed Instances for Apache Cassandra allows you to run mission-critical workloads cost-effectively at scale. Multiple resource and data replicating options make it easy to manage changing demands. Scalability with zero downtime is essential for hybrid and cloud deployments. Cassandra's familiar tools and languages will help you develop applications faster. You can free yourself from infrastructure management, without compromising on security. Managed, secure services streamline operations by automating repairs, patches and updates. Automatic backups and disaster-recovery will make your database more resilient and durable. Turnkey scaling services, hybrid deployments and other options will allow you to retain flexibility and control over your hardware configuration. A pricing model that is based on instances allows you to specify the number of CPUs, virtual machine SKUs, and memory/disk needs.

Apache Helix is a generic cluster management framework that automates the management of distributed, replicated, and partitioned resources hosted on a cluster. Helix automates the reassignment and reconfiguration of resources in case of node failure, recovery, cluster expansion, or reconfiguration. Cluster management is the first step to understanding Helix. For the following reasons, a distributed system is typically run on multiple nodes: Scalability, fault tolerance, load balancencing, and scalability. Each node is responsible for one or more of the cluster's primary functions, such as serving and storing data, producing and consuming data streams, etc. Helix is the global brain of your system once it has been configured. It is designed to make decisions that are not possible in isolation. Although it is possible to integrate these functions into a distributed system, it can complicate the code.

Amazon MSK is a fully managed service that makes coding and running applications that use Apache Kafka for streaming data processing easy. Apache Kafka is an open source platform that allows you to build real-time streaming data applications and pipelines. Amazon MSK allows you to use native Apache Kafka APIs for populating data lakes, stream changes between databases, and to power machine learning or analytics applications. It is difficult to set up, scale, and manage Apache Kafka clusters in production. Apache Kafka clusters can be difficult to set up and scale on your own.

Amazon DocumentDB (with MongoDB compatibility), is a fast, scalable and highly available document database service that supports MongoDB workloads. Amazon DocumentDB is a document database that makes it easy to store, query and index JSON data. Amazon DocumentDB is a nonrelational database service that was designed from the ground up to provide the performance, scalability and availability you require when running mission-critical MongoDB workloads on a large scale. Amazon DocumentDB is decoupled from compute and storage, which allows each to scale independently. You can increase read capacity to millions of requests every second by adding up 15 low latency replicas in minutes, regardless how large your data is. Amazon DocumentDB is designed to guarantee 99.99% availability. It replicates six copies across three AWSAvailability Zones (AZs) of your data.

Rocket iCluster high availability/disaster recovery (HA/DR) solutions ensure uninterrupted operation for your IBM i applications, providing continuous access by monitoring, identifying, and self-correcting replication problems. iCluster’s multi-cluster administration console monitors real-time events on the classic web UI and the green screen. Rocket iCluster reduces the downtime associated with unexpected IBM i system disruptions by using fault-tolerant object-level replication in real-time. In the event of a failure, you can quickly bring a "warm mirror" of a clustered IBM i into service. iCluster disaster-recovery software ensures a highly available environment by allowing business applications to simultaneously access both the master and replicated data. This setup allows you offload critical business functions such as running queries and reports, as well as ETL and EDI tasks, from your secondary system, without affecting the performance of your primary system.

ClickHouse is an open-source OLAP database management software that is fast and easy to use. It is column-oriented, and can generate real-time analytical reports by using SQL queries. ClickHouse's performance is superior to comparable column-oriented database management software currently on the market. It processes hundreds of millions of rows to more than a million and tens if not thousands of gigabytes per second. ClickHouse makes use of all hardware available to process every query as quickly as possible. Peak processing speed for a single query is more than 2 Terabytes per Second (after decompression, only utilized columns). To reduce latency, reads in distributed setups are automatically balanced between healthy replicas. ClickHouse supports multimaster asynchronous replication, and can be deployed across multiple datacenters. Each node is equal, which prevents single points of failure.

Apache Kafka®, is an open-source distributed streaming platform.

The Raijin Database uses flat JSON records to deal with sparse information. The Raijin Database supports SQL query language as its primary query language, while removing some limitations. Data compression not only saves space, but also gives you a boost in performance with modern CPUs. Many NoSQL solutions lack or are inefficient at supporting analytical queries. Raijin DB supports group-by and aggregations using standard SQL syntax. Large amounts of data can be processed with vectorized execution and cache-friendly algorithm. It is supported by optimized SIMD instructions (SSE2/AVX2), and a modern compressed hybrid columnar store layer. This ensures that your CPUs do not waste cycles. This allows for data crunching that is up to a factor of ten times faster than other solutions written in higher-level languages or interpreted languages, which can be inefficient at processing large data amounts.

Dqlite is an embedded, persistent SQL database that runs on Raft consensus. It is ideal for fault-tolerant IoT devices and Edge devices. Dqlite ("distributed SQLite") extends SQLite over a cluster of machines with automatic failover and high availability to keep your application running. C-Raft is an optimised Raft implementation in C that allows for high-performance transactional consensus, fault tolerance, and SQlite's small footprint. C-Raft has been designed to minimize transaction latency. C-Raft, dqlite and other programs are written in C to maximize cross-platform portability. Publication under the LGPLv3 License with a static linking exemption for maximum compatibility. Common CLI pattern is used for database initialization, voting member joins and exits. With automatic leader election, there is minimal, but not insignificant, delay for failover. Disk-backed database with in memory options and SQLite transaction.

Percona XtraDB Cluster is an open-source, high availability, MySQL clustering solution. It helps enterprises reduce unexpected downtime and data losses, lower costs, and improve performance and scalability in their database environments. PXC supports critical business applications in the most demanding public and private cloud environments. Percona XtraDB Cluster, (PXC), preserves, secures and protects data as well as revenue streams, by providing the highest availability for business-critical applications. PXC can help you reduce costs, eliminate license fees, and meet budget constraints. Our integrated tools allow you to optimize, maintain, monitor, and monitor your cluster. This allows you to get the most from your MySQL environment.

Fauna is a data API that supports rich clients with serverless backends. It provides a web-native interface that supports GraphQL, custom business logic, frictionless integration to the serverless ecosystem, and a multi-cloud architecture that you can trust and grow with.

Evidian SafeKit, a high-availability solution, is designed to ensure redundancy for critical applications on Windows or Linux platforms. It offers a one-stop solution that integrates load balancing with synchronous real-time replication, automatic application failureover, and automated failback following a server failure. This eliminates the requirement for additional hardware such as network load-balancers or shared hard disks as well as enterprise editions of databases and operating systems. SafeKit's clustering software allows for the creation of mirror clusters that have real-time data replicating and failover as well as farm clusters that have load balancing, failover and advanced architectures such as farm+mirror and active-active clusters. Its shared-nothing design simplifies deployment even at remote sites by avoiding the complexity of shared disk clusters.

Tabular is a table store that allows you to create an open table. It was created by the Apache Iceberg creators. Connect multiple computing frameworks and engines. Reduce query time and costs up to 50%. Centralize enforcement of RBAC policies. Connect any query engine, framework, or tool, including Athena BigQuery, Snowflake Databricks Trino Spark Python, Snowflake Redshift, Snowflake Databricks and Redshift. Smart compaction, data clustering and other automated services reduce storage costs by up to 50% and query times. Unify data access in the database or table. RBAC controls are easy to manage, enforce consistently, and audit. Centralize your security at the table. Tabular is easy-to-use and has RBAC, high-powered performance, and high ingestion under the hood. Tabular allows you to choose from multiple "best-of-breed" compute engines, based on their strengths. Assign privileges to the data warehouse database or table level.

Automatically detect and fix fragmentation in your database index. SQL Server database administrators must ensure high availability and performance for their databases. Indexes that are out of cluster and fragmented are key areas that can dramatically impact the performance of SQL Server. SQL Defrag Manager is an innovative solution to defragment SQL Server indexes. It automates the tedious task of finding fragmented tables based on the policies specified for the databases.

In-Memory Computing Platform. Digital world is different. Microseconds are important. The world's most important organizations rely on us for powering their most sensitive applications at scale. If they meet the current requirement for immediate access, new data-enabled apps can transform your business. Hazelcast solutions can be used to complement any database and deliver results that are much faster than traditional systems of record. Hazelcast's distributed architecture ensures redundancy and continuous cluster up-time, as well as always available data to support the most demanding applications. The capacity grows with demand without compromising performance and availability. The cloud delivers the fastest in-memory data grid and third-generation high speed event processing.

Kubernetes is becoming more popular. Teams are now required to deploy and manage multiple clusters in order to provide fault isolation, scale, geo-redundancy and geo-redundancy for their applications. Submariner allows you to deploy your services and applications across multiple cloud providers, data centers, or regions. The Broker must only be deployed on one Kubernetes cluster. Submariner must allow access to the API server of this cluster. It can be either a cluster that is only used for this purpose or any of the clusters that are connected to it. Submariner will be deployed on a cluster that has the appropriate credentials to the Broker. It will exchange Cluster and Endpoint objects via push/pull/watching, and begin forming connections and routes with other clusters. All worker node IPs for connected clusters must not fall within the Pod/Service ranges.

Many aspects of the management of data in telecommunications networks are addressed by traditional Database Management Systems. Mnesia is a new DBMS that addresses the requirements of many nonstop systems. Mnesia is tightly coupled to Erlang and is implemented in. It provides the functionality necessary to implement fault-tolerant telecommunications system. Mnesia, a distributed DBMS for multiple users, is specifically designed to support industrial-grade telecommunications applications written using Erlang. This language is also the intended target. Mnesia aims to address all data management issues for typical telecommunications system and offers a number features not found in traditional DBMSs.

Xata is a combination relational database, analytics engine, and free-text search engine. It is a spreadsheet-like interface with a powerful data API that provides granular security, zero downtime migrations, subscriptions and ACID transactions. There is also caching and caching. When you aren't concerned about servers when you deploy your application, why should servers (or nodes or clusters) be worried about when you use a database service? Xata is the perfect companion to Serverless and Low-Code/Serverless development platforms because it offers a simple global RESTful API that allows you to insert, query, aggregate, and search. Xata lets you build your database schema iteratively while you add sample data. It is accessible via a spreadsheet-like UI. You can add columns, tables, and data to your database, as well as create queries and views. The code samples can then be used in your application. This allows you to be flexible as you develop your application and, as the application grows in complexity, the strict schema ensures that your data remains safe and correct.

Apache Kafka®, with Confluent, has an infinite retention. Be infrastructure-enabled, not infrastructure-restricted Legacy technologies require you to choose between being real-time or highly-scalable. Event streaming allows you to innovate and win by being both highly-scalable and real-time. Ever wonder how your rideshare app analyses massive amounts of data from multiple sources in order to calculate real-time ETA. Wondering how your credit card company analyzes credit card transactions from all over the world and sends fraud notifications in real time? Event streaming is the answer. Microservices are the future. A persistent bridge to the cloud can enable your hybrid strategy. Break down silos to demonstrate compliance. Gain real-time, persistent event transport. There are many other options.

What makes eXtremeDB platform independent? - Hybrid storage of data. Unlike other IMDS databases, eXtremeDB databases are all-in-memory or all-persistent. They can also have a mix between persistent tables and in-memory table. eXtremeDB's Active Replication Fabric™, which is unique to eXtremeDB, offers bidirectional replication and multi-tier replication (e.g. edge-to-gateway-to-gateway-to-cloud), compression to maximize limited bandwidth networks and more. - Row and columnar flexibility for time series data. eXtremeDB supports database designs which combine column-based and row-based layouts in order to maximize the CPU cache speed. - Client/Server and embedded. eXtremeDB provides data management that is fast and flexible wherever you need it. It can be deployed as an embedded system and/or as a clients/server database system. eXtremeDB was designed for use in resource-constrained, mission-critical embedded systems. Found in over 30,000,000 deployments, from routers to satellites and trains to stock market world-wide.