Hurtig NoSQL-database med åbne API'er uanset størrelse
Udvikl hurtigt og nemt apps på enhver skala med Azure Cosmos DB, en fuldt administreret og serveruafhængig distribueret database, der understøtter NoSQL- og relationelle arbejdsbelastninger Få garanteret hastighed og tilgængelighed for NoSQL-data, automatisk og øjeblikkelig skalerbarhed og understøttelse af PostgreSQL, MongoDB og Cassandra med åben kildekode. Azure Cosmos DB tilbyder omkostningseffektive modeller til prisfastsættelse til apps af enhver størrelse, fra udvikling/test til produktion.
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Anvend filtre for at tilpasse prismulighederne efter dine behov.
Prices are estimates only and are not intended as actual price quotes. Actual pricing may vary depending on the type of agreement entered with Microsoft, date of purchase, and the currency exchange rate. Prices are calculated based on US dollars and converted using London closing spot rates that are captured in the two business days prior to the last business day of the previous month end. If the two business days prior to the end of the month fall on a bank holiday in major markets, the rate setting day is generally the day immediately preceding the two business days. This rate applies to all transactions during the upcoming month. Sign in to the Azure pricing calculator to see pricing based on your current program/offer with Microsoft. Contact an Azure sales specialist for more information on pricing or to request a price quote. See frequently asked questions about Azure pricing. Learn how you can save on your dynamic workloads with savings plan for databases.
Amerikanske myndigheder kan købe Azure Government-tjenester hos en licensudbyder uden økonomisk forpligtelse eller direkte via et Betalt efter forbrug-onlineabonnement.
Vigtigt – Prisen i R$ er kun vejledende. Det er en international transaktion, og den endelige pris kan ændres, afhængigt af valutakurser og inkludering af IOF-afgifter. Der udstedes ikke en eNF.
Amerikanske myndigheder kan købe Azure Government-tjenester hos en licensudbyder uden økonomisk forpligtelse eller direkte via et Betalt efter forbrug-onlineabonnement.
Vigtigt – Prisen i R$ er kun vejledende. Det er en international transaktion, og den endelige pris kan ændres, afhængigt af valutakurser og inkludering af IOF-afgifter. Der udstedes ikke en eNF.
Azure Cosmos DB-prismodel
Azure Cosmos DB faktureres for tre forskellige typer forbrug: beregning, lager og båndbredde. På fanerne nedenfor beskrives de enkelte beregningsprismodeller mere detaljeret med de tilhørende modeller for lager- og båndbreddepriser.
Når en prismodel for beregning og API er valgt, kan de ikke ændres.
Priser på Compute:
Anmodningsenhed (gennemløb): Azure Cosmos DB-fakturaer ved hjælp af anmodningsenheder målt pr. sekund. Anmodningsenheder er en proxy til beregning, hukommelse og IO, der bruges til at behandle databasehandlinger, og faktureres på tværs af alle udvalgte Azure-områder på din Azure Cosmos DB-konto.
Indstillinger for gennemløb omfatter: standard klargjort gennemløb, autoskaleret klargjort gennemløb og serveruafhængig.
Relevante API'er: NoSQL, MongoDB (RU), Cassandra, Gremlin og Table.
vCore: Azure Cosmos DB-fakturaer for vCores (beregning og hukommelse) pr. node for at behandle databasehandlinger og faktureres på baggrund af størrelsen og antallet af klargjorte noder.
Available APIs: PostgreSQL, MongoDB (vCore), Garnet Cache.
Priser på lagerplads:
Forbrugt lager: Azure Cosmos DB faktureres for forbrugt lager pr. GB brøker pr. objektbeholder/samling/tabel/graf pr. område. Forbrugt lager omfatter alle transaktions- og analysedata og -indekser samt sikkerhedskopier.
Relevante API'er: NoSQL, MongoDB (RU), Cassandra, Gremlin og Table.
Disk Storage: Azure Cosmos DB faktureres for diske, der er klargjort for hver node efter lagerstørrelse.
Applicable APIs: PostgreSQL, MongoDB (vCore), Garnet Cache.
Prisfastsættelse på båndbredde:
Udgående data: Azure fakturerer for data, der er udgående fra Azure-cloudmiljøet eller transiterer Azure WAN på tværs af områder eller tilgængelighedszoner.
Relevante API'er: Alle.
Azure Cosmos DB Garnet Cache is a high-performance, scalable, distributed cache designed to accelerate data access and reduce latency for applications. It is best for workloads that require:
- Consistent low latency for reads and writes at scale
- High throughput, low latency vector searches for AI driven workloads
- Resilient and highly available caching
- Rich and extensible APIs with support for the RESP protocol and Redis commands
Learn more about Azure Cosmos DB Garnet Cache.
Garnet Cache Cluster
Each Azure Cosmos DB Garnet Cache cluster has one or more nodes. You can distribute data across multiple nodes in a cluster by adding shards. As the performance needs of your workload grow, you can vertically scale by choosing a larger SKU or horizontally scale by adding additional shards to your cluster.
High availability (HA) avoids cache downtime by maintaining replicas. Azure Cosmos DB Garnet Cache allows you configure your replication factor to control how many nodes (primary and replicas) are provisioned for each shard.
Azure Cosmos DB Garnet Cache uses Premium SSD managed disks to store snapshots when data persistence is enabled. Each node in the cluster has its own attached disk, and the size of the disk scales based on the amount of data available for the chosen VM SKU. When data persistence is enabled, both primary and replica nodes have attached disks.
General Purpose v6-series
Pricing for the Ds_v6 series.
| VM SKU | vCPUs per Node | Total RAM per Node* | Compute Price per Node | Disk Price per Node** |
|---|---|---|---|---|
| D2 | 2 | 8 GiB | $- | $- |
| D4 | 4 | 16 GiB | $- | $- |
| D8 | 8 | 32 GiB | $- | $- |
| D16 | 16 | 64 GiB | $- | $- |
| D32 | 32 | 128 GiB | $- | $- |
| D48 | 48 | 192 GiB | $- | $- |
| D64 | 64 | 256 GiB | $- | $- |
| D96 | 96 | 384 GiB | $- | $- |
| D128 | 128 | 512 GiB | $- | $- |
| D192 | 192 | 768 GiB | $- | $- |
* There is a variable amount of cacheable RAM due operational overhead. Plan for a buffer when determining the storage needs of your cluster and monitor using the Azure Portal.
** Applicable when data persistence is enabled
General Purpose
Pricing for the Ds_v5, Das_v5, Ds_v4 series is uniform based on the number of vCores regardless of the series chosen. For example, Standard_D32s_v5, Standard_D32as_v5, and Standard_D32s_v4 are all priced at the same D32 rate.
| VM SKU | vCPUs per Node | Total RAM per Node* | Compute Price per Node | Disk Price per Node** |
|---|---|---|---|---|
| D2 | 2 | 8 GiB | $- | $- |
| D4 | 4 | 16 GiB | $- | $- |
| D8 | 8 | 32 GiB | $- | $- |
| D16 | 16 | 64 GiB | $- | $- |
| D32 | 32 | 128 GiB | $- | $- |
| D48 | 48 | 192 GiB | $- | $- |
| D64 | 64 | 256 GiB | $- | $- |
| D96 | 96 | 384 GiB | $- | $- |
* There is a variable amount of cacheable RAM due operational overhead. Plan for a buffer when determining the storage needs of your cluster and monitor using the Azure Portal.
** Applicable when data persistence is enabled
General Purpose Burstable
Pricing for the Bls_v2, Bals_v2 series is uniform based on the number of vCores regardless of the series chosen. For example, Standard_B2ls_v2 and Standard_B2als_v2 are all priced at the same B2 rate.
| VM SKU | vCPUs per Node | Total RAM per Node* | Compute Price per Node | Disk Price per Node** |
|---|---|---|---|---|
| B2 | 2 | 4 GiB | $- | $- |
* There is a variable amount of cacheable RAM due operational overhead. Plan for a buffer when determining the storage needs of your cluster and monitor using the Azure Portal.
** Applicable when data persistence is enabled
Memory Optimized v6-series
Pricing for the Es_v6 series.
| VM SKU | vCPUs per Node | Total RAM per Node* | Compute Price per Node | Disk Price per Node** |
|---|---|---|---|---|
| E2 | 2 | 16 GiB | $- | $- |
| E4 | 4 | 32 GiB | $- | $- |
| E8 | 8 | 64 GiB | $- | $- |
| E16 | 16 | 128 GiB | $- | $- |
| E20 | 20 | 160 GiB | $- | $- |
| E32 | 32 | 256 GiB | $- | $- |
| E48 | 48 | 384 GiB | $- | $- |
| E64 | 64 | 512 GiB | $- | $- |
| E96 | 96 | 768 GiB | $- | $- |
| E128 | 128 | 1,024 GiB | $- | $- |
* There is a variable amount of cacheable RAM due operational overhead. Plan for a buffer when determining the storage needs of your cluster and monitor using the Azure Portal.
** Applicable when data persistence is enabled
Memory Optimized
Pricing for the Es_v5, Eas_v5, Es_v4 series is uniform based on the number of vCores regardless of the series chosen. For example, Standard_E32s_v5, Standard_E32as_v5, and Standard_E32s_v4 are all priced at the same E32 rate.
| VM SKU | vCPUs per Node | Total RAM per Node* | Compute Price per Node | Disk Price per Node** |
|---|---|---|---|---|
| E2 | 2 | 16 GiB | $- | $- |
| E4 | 4 | 32 GiB | $- | $- |
| E8 | 8 | 64 GiB | $- | $- |
| E16 | 16 | 128 GiB | $- | $- |
| E20 | 20 | 160 GiB | $- | $- |
| E32 | 32 | 256 GiB | $- | $- |
| E48 | 48 | 384 GiB | $- | $- |
| E64 | 64 | 512 GiB | $- | $- |
| E96 | 96 | 672 GiB | $- | $- |
* There is a variable amount of cacheable RAM due operational overhead. Plan for a buffer when determining the storage needs of your cluster and monitor using the Azure Portal.
** Applicable when data persistence is enabled
Compute Optimized v6-series
Pricing for the Fas_v6 series.
| VM SKU | vCPUs per Node | Total RAM per Node* | Compute Price per Node | Disk Price per Node** |
|---|---|---|---|---|
| F2 | 2 | 8 GiB | $- | $- |
| F4 | 4 | 16 GiB | $- | $- |
| F8 | 8 | 32 GiB | $- | $- |
| F16 | 16 | 64 GiB | $- | $- |
| F32 | 32 | 128 GiB | $- | $- |
| F48 | 48 | 192 GiB | $- | $- |
| F64 | 64 | 256 GiB | $- | $- |
* There is a variable amount of cacheable RAM due operational overhead. Plan for a buffer when determining the storage needs of your cluster and monitor using the Azure Portal.
** Applicable when data persistence is enabled
Storage Optimized
Pricing for the Ls_v3 and Ls_v4 series is uniform based on the number of vCores regardless of the series chosen. For example, Standard_L32s_v3 and Standard_L32s_v4 are both priced at the same L32 rate.
| VM SKU | vCPUs per Node | Total RAM per Node* | Local NVMe Storage | Compute Price per Node | Disk Price per Node** |
|---|---|---|---|---|---|
| L2 | 2 | 16 GiB | 480 GB | $- | $- |
| L4 | 4 | 32 GiB | 960 GB | $- | $- |
| L8 | 8 | 64 GiB | 1,920 GB | $- | $- |
| L16 | 16 | 128 GiB | 3,840 GB | $- | $- |
| L32 | 32 | 256 GiB | 7,680 GB | $- | $- |
| L48 | 48 | 384 GiB | 11,520 GB | $- | $- |
| L64 | 64 | 512 GiB | 15,360 GB | $- | $- |
| L80 | 80 | 640 GiB | 19,200 GB | $- | $- |
| L96 | 96 | 768 GiB | 23,040 GB | $- | $- |
* There is a variable amount of cacheable RAM due operational overhead. Plan for a buffer when determining the storage needs of your cluster and monitor using the Azure Portal.
** Applicable when data persistence is enabled
Båndbredde
Azure Networking bills for data that egresses the Azure cloud to a destination on the internet or transits the Azure WAN between regions, see Azure Networking Bandwidth Pricing.Azure-priser og købsmuligheder
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